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Receding Horizon Control: Model Predictive Control for State Models (Advanced Textbooks in Control and Signal Processing) Review
Receding Horizon Control: Model Predictive Control for State Models (Advanced Textbooks in Control and Signal Processing) Overview
Easy-to-follow learning structure makes absorption of advanced material as pain-free as possible
Introduces complete theories for stability and cost monotonicity for constrained and non-linear systems as well as for linear systems
In co-ordination with MATLAB® files available from springeronline.com, exercises and examples give the student more practice in the predictive control and filtering techniques presented
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Predictive Astrology: Understanding Transits as the Key to the Future Review
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Introduction to Predictive Learning Review
Introduction to Predictive Learning Overview
This textbook offers a non-mathematical approach to predictive learning, emphasizing methodology and principles. It describes conceptual and philosophical aspects of predictive learning, exploring constructive learning algorithms in a coherent framework.
The book includes:
- concepts, such as complexity control, generalization, and basic modeling approaches;
- philosophical principles of statistical estimation and machine learning;
- a presentation of statistical learning theory,
- a framework for learning algorithms;
- data-analytic methods;
- neural network and machine learning methods
- non-standard learning methodologies and their SVM-like mathematical description.
This book provides a solid methodologies and practical applications for students and practitioners alike. Exercises range from trivial programming to open-ended research questions. Supplemental material includes a solutions manual, lecture slides, data sets, software implementation, and MATLAB scripts.
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Predictive Evaluation: Ensuring Training Delivers Business and Organizational Results Review
Predictive Evaluation: Ensuring Training Delivers Business and Organizational Results Overview
This work supports a process called Predictive Evaluation (PE) which enables practitioners to provide executives with compelling training data around the success of training in the three areas of Intention, Adoption, and Impact. PEalso works to determine whether success has been achieved, and provides lead indicators of future adoption (transfer of learning) along with recommendations for continuous improvement. PE provides measurement dashboard along with tactics for improving results. Predicting, the core operational concept in this approach, is a “before-the-fact” method which allows key decision makers to select the best training programs to support company strategy and operating plans. Another way to think about this model is:
Predicting is before-the-fact to decide if to train.
Evaluating is after-the-fact measurement against the predictions.
There are four ways that the PE approach differs from other models in the field, namely:
1. Whereas traditional approaches focus on costs and numbers, not on forecasting financial return, PE focuses on the predicted impact and its value-add to the organization.
2. Whereas traditional approaches view evaluation as after-the-fact with no measures of success, PE employs repeated measures that mirror employees’ path to improved performance with predicted ‘success gates’.
3. Whereas ROI and/or Cost-Benefit evaluations traditionally rely on subjective estimates, PE provides concrete, business-focused and evidence-based data on return on investment and does not use statistical averages based on subjective estimates of improved performance or productivity.
4. Whereas existing approaches work on an after-the-fact basis with one-off programs, PE offers a determined prediction of the extent of transfer and impact and works well with programs that have repeated deliveries over a period of time.
Lacking the information that PE provides, decision makers could fail to support those training programs that have the greatest potential for producing significant value to the company.
When decision makers decide to spend large sums of money on training, they seek to evaluate their options as they evaluate other large investments – that is so on the basis on financial returns to the company. This work shows those decision makers how to accurately determine the potential ROI on such training programs before committing to them.
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Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance) Review
Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance) Overview
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction.
McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong.
* Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance
* Includes numerous examples and applications
* Numerical illustrations use MATLAB code and the book is accompanied by a website
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Practical Machinery Vibration Analysis and Predictive Maintenance (Practical Professional) Review
Practical Machinery Vibration Analysis and Predictive Maintenance (Practical Professional) Overview
Machinery Vibration Analysis and Predictive Maintenance provides a detailed examination of the detection, location and diagnosis of faults in rotating and reciprocating machinery using vibration analysis. The basics and underlying physics of vibration signals are first examined. The acquisition and processing of signals is then reviewed followed by a discussion of machinery fault diagnosis using vibration analysis. Hereafter the important issue of rectifying faults that have been identified using vibration analysis is covered. The book also covers the other techniques of predictive maintenance such as oil and particle analysis, ultrasound and infrared thermography. The latest approaches and equipment used together with the latest techniques in vibration analysis emerging from current research are also highlighted.
1. Understand the basics of vibration measurement
2. Apply vibration analysis for different machinery faults
3. Diagnose machinery-related problems with vibration analysis techniques
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Text Mining: Predictive Methods for Analyzing Unstructured Information Review
Text Mining: Predictive Methods for Analyzing Unstructured Information Overview
The growth of the web can be seen as an expanding public digital library collection. Online digital information extends far beyond the web and its publicly available information. Huge amounts of information are private and are of interest to local communities, such as the records of customers of a business. This information is overwhelmingly text and has its record-keeping purpose, but an automated analysis might be desirable to find patterns in the stored records. Analogous to this data mining is text mining, which also finds patterns and trends in information samples but which does so with far less structured--though with greater immediate utility for users--ingredients. This book focuses on the concepts and methods needed to expand horizons beyond structured, numeric data to automated mining of text samples. It introduces the new world of text mining and examines proven methods for various critical text-mining tasks, such as automated document indexing and information retrieval and search. New research areas are explored, such as information extraction and document summarization, that rely on evolving text-mining techniques.
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PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics Review
PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics Overview
PMML (Predictive Model Markup Language) is the de facto standard used to represent and share predictive analytic solutions between applications. This enables data mining scientists and users alike to easily build, visualize, and deploy their solutions using different platforms and systems. This book presents PMML from a practical perspective. It contains a variety of code snippets so that concepts are made clear through the use of examples. "PMML in Action" is a great way to learn how to represent your predictive models through a mature open standard. The book is divided into six parts, taking you into a PMML journey in which language elements and attributes are used to represent not only modeling techniques but also data transformations. With PMML, users benefit from a single and concise standard to represent data and models, thus avoiding the need for custom code and proprietary solutions. You too can join the PMML movement! Unleash the power of predictive analytics and data mining today!
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Model-Based Predictive Control: A Practical Approach (Control Series) Review
Model-Based Predictive Control: A Practical Approach (Control Series) Overview
Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering.Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications.This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.
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Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis Review
Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis Overview
It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to predict where future crimes are likely to occur. Armed with this data, law enforcement executives can develop "risk-based deployment strategies," that allow them to make informed and cost-efficient staffing decisions based on the likelihood of specific criminal activity.
Knowledge of advanced statistics is not a prerequisite for using Data Mining and Predictive Analysis. The book is a starting point for those thinking about using data mining in a law enforcement setting. It provides terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis, which law enforcement and intelligence professionals can tailor to their own unique situation and responsibilities.
* Serves as a valuable reference tool for both the student and the law enforcement professional
* Contains practical information used in real-life law enforcement situations
* Approach is very user-friendly, conveying sophisticated analyses in practical terms
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Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit (Gis Data Series) Review
Practical Applications of GIS for Archaeologists: A Predictive Modelling Toolkit (Gis Data Series) Overview
The use of Geographic Information Systems is the most important and powerful technology introduced to archaeology since carbon dating. Containing a free integrated CDROM, this book focuses on GIS use in predicting archaeological site locations.
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An Introduction to Predictive Maintenance, Second Edition (Plant Engineering) Review
An Introduction to Predictive Maintenance, Second Edition (Plant Engineering) Overview
This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly.
Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available.
Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity.
* A comprehensive introduction to a system of monitoring critical industrial equipment
* Optimize the availability of process machinery and greatly reduce the cost of maintenance
* Provides the means to improve product quality, productivity and profitability of manufacturing and production plants
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Predictive Astrology: The Eagle and the Lark Review
Predictive Astrology: The Eagle and the Lark Feature
- ISBN13: 9781578631124
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed
Predictive Astrology: The Eagle and the Lark Overview
This ground-breaking book, with its many new techniques and concepts, brings predictive astrology into a world of its own. Covers techniques and methods necessary for making accurate astrological predictions. Learn to reveal the future and put various aspects of life into perspective.
Predictive Astrology: The Eagle and the Lark Specifications
Bernadette Brady has a gift for expressing the mathematically complex in poetic terms that turn angles and orbits into a celestial ballet. Predictive Astrology covers all the basics--transits, progressions, and houses--while unlocking the bewildering secrets of eclipses. In a seamless dialogue of logic and intuition, Brady encourages us to look beyond the basic blueprint of the natal chart and peek into the future. Her view of fate doesn't condemn a person to a set path in life, allowing the astrologer who carefully balances logic and intuition to better prepare her clients for the challenges fate has in store. --Brian Patterson
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Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control) Review
Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control) Feature
- ISBN13: 9781848823303
- Condition: New
- Notes: BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed
Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control) Overview
Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs.
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages:
continuous- and discrete-time MPC problems solved in similar design frameworks;
a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and
a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.
After the theoretical presentation, detailed coverage is given to three industrial applications: a food extruder, a motor and a magnetic bearing system. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.
The technical contents of this book, mainly based on advances in MPC using state-space models and basis functions to which the author is a major contributor, will be of interest to control researchers and practitioners, especially of process control. From a pedagogical standpoint, this volume includes numerous simple analytical examples and every chapter contains problems and MATLAB® programs and exercises to assist the student.
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Predictive Toxicology in Drug Safety Review
Predictive Toxicology in Drug Safety Overview
According to the Institute of Medicine (IOM) and U.S. Food and Drug Administration (FDA), "developing new scientific approaches to detecting, understanding, predicting, and preventing adverse events" was a critical path to the future of drug safety. This book brings together a collection of state-of-the-art chapters, written by experts in the drug safety field. It provides information on the present knowledge of drug side effects and their mitigation strategy during drug discovery, gives guidance for risk assessment, and promotes evidence-based toxicology. Each specific area of toxicology relevant for drug discovery is discussed in detail, including theory, experimental approaches, and data interpretation supported by comprehensive up-to-date references. Many chapters provide fascinating case studies, which are of general interest for those who have basic science training and are interested in how chemicals interact with the human body.
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Hindu Predictive Astrology Review
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The Art of Predictive Astrology: Forecasting Your Life Events Review
The Art of Predictive Astrology: Forecasting Your Life Events Feature
- ISBN13: 9780738701646
- Condition: New
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The Art of Predictive Astrology: Forecasting Your Life Events Overview
Are you likely to meet a new love soon? Is the coming year a good time for that major career change you've been contemplating? Are you likely to make a lot of money in your life, or will you always be challenged to make the most of what you have?
The techniques presented in The Art of Predictive Astrology show you how to forecast upcoming trends and life events for yourself, friends and family, and astrological clients. Author Carol Rushman, a practicing astrologer for over twenty-five years, shares her method for astrological prediction, including: the "natal promise" of the birth chart; secondary progressions, including the progressed Moon, and progressed house cusps; transiting planets; lunations (New and Full Moons) and eclipses.
After reading this book you will be able to predict major events such as marriage, and minor events like receiving a small gift. Real-life examples drawn from the author's experience show you firsthand how to practice the art of predictive astrology.
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Predictive Parenting: What to Say When You Talk to Your Kids Review
Predictive Parenting: What to Say When You Talk to Your Kids Overview
Complete with actual scripts for dealing with real-life situations, FPredictive Parenting will show parents how to motivate and protect their children from forces beyond their control, to convey self-esteem, and to provide vital and positive influences on their children's lives.
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