Pattern Recognition in Industry

Name: Pattern Recognition in Industry
Price: 79.78 USD
Availability: InStock
ISBN: 9780080445380

ISBN-10: 0080445381

ISBN-13: 9780080445380

Edition: 2005

Authors: Phiroz Bhagat

List price: $136.00

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Description:

Two wave fronts are upon us today: we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances. Ideally, the endless stream of data should be one of our major assets. However, this potential asset often tends to overwhelm rather than enrich. Competitive advantage depends on our ability to extract and utilize nuggets of valuable knowledge and insight from this data deluge. The challenges that need to be overcome include the under-utilization of available data due to competing priorities, and the separate and somewhat disparate existing data systems that have difficulty interacting with each other. Conventional… approaches to formulating models are becoming progressively more expensive in time and effort. To impart a competitive edge, engineering science in the 21st century needs to augment traditional modelling processes by auto-classifying and self-organizing data; developing models directly from operating experience, and then optimizing the results to provide effective strategies and operating decisions. This approach has wide applicability; in areas ranging from manufacturing processes, product performance and scientific research, to financial and business fields. This monograph explores pattern recognition technology, and its concomitant role in extracting useful knowledge to build technical and business models directly from data, and in optimizing the results derived from these models within the context of delivering competitive industrial advantage. It is not intended to serve as a comprehensive reference source on the subject. Rather, it is based on first-hand experience in the practice of thistechnology: its development and deployment for profitable application in industry. The technical topics covered in the monograph will focus on the triad of technological areas that constitute the contemporary workhorses of successful industrial application of pattern recognition. These are: systems for self-organising data; data-driven modelling; and genetic algorithms as robust optimizers. *"Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. *Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry.

Book details

List price: $136.00
Copyright year: 2005
Publisher: Elsevier Science & Technology
Publication date: 3/30/2005
Binding: Hardcover
Pages: 200
Size: 6.50" wide x 9.45" long x 0.20" tall
Weight: 1.012
Language: English



Preface


Acknowledgments


About the Author



Philosophy



Introduction



Patterns Within Data



Adapting Biological Principles for Deployment in Computational Science



Issues In Predictive Empirical Modeling



Technology



Supervised Learningcorrelative Neural Nets



Unsupervised Learning: Auto-Clustering and Self-Organizing Data



Customizing For Industrial Strength Applications



Characterizing And Classifying Textual Material



Pattern Recognition in Time Series Analysis



Genetic Algorithms



Case Studies



Harnessing The Technology for Profitability



Reactor Modeling Through in Situ Adaptive Learning



Predicting Plant Stack Emissions to Meet Environmental Limits



Predicting Fouling/Coking in Fired Heaters



Predicting Operational Credits



Pilot Plant Scale-Up by Interpreting Tracer Diagnostics



Predicting Distillation Tower Temperatures: Mining Data for Capturing Distinct Operational Variability



Enabling New Process Design Based on Laboratory Data



Forecasting Price Changes of a Composite Basket of Commodities



Corporate Demographic Trend Analysis


Epilogue


Appendices



Thermodynamics and Information Theory



Modeling