Table of Contents: Pattern recognition in industry /

Main Author:	Bhagat, Phiroz.
Format:	Book
Language:	English
Published:	Amsterdam ; Boston ; London : Elsevier, 2005.
Edition:	1st ed.
Subjects:	Image processing > Digital techniques. Pattern recognition systems. Traitement d'images > Techniques numériques. Reconnaissance des formes (Informatique) COMPUTERS > Optical Data Processing.
Online Access:	http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=166317

Table of Contents:

Preface
Acknowledgments
About the Author
<CENTER>Part I Philosophy</CENTER>
CHAPTER 1: INTRODUCTION
CHAPTER 2: PATTERNS WITHIN DATA
CHAPTER 3: ADAPTING BIOLOGICAL PRINCIPLES FOR DEPLOYMENT IN COMPUTATIONAL SCIENCE
CHAPTER 4: ISSUES IN PREDICTIVE EMPIRICAL MODELING
<CENTER>Part II Technology</CENTER>
CHAPTER 5: SUPERVISED LEARNINGCORRELATIVE NEURAL NETS
CHAPTER 6: UNSUPERVISED LEARNING: AUTO-CLUSTERING AND SELF-ORGANIZING DATA
CHAPTER 7: CUSTOMIZING FOR INDUSTRIAL STRENGTH APPLICATIONS
CHAPTER 8: CHARACTERIZING AND CLASSIFYING TEXTUAL MATERIAL
CHAPTER 9: PATTERN RECOGNITION IN TIME SERIES ANALYSIS
CHAPTER 10: GENETIC ALGORITHMS
<CENTER>Part III Case Studies</CENTER>
CHAPTER 11: HARNESSING THE TECHNOLOGY FOR PROFITABILITY
CHAPTER 12: REACTOR MODELING THROUGH IN SITU ADAPTIVE LEARNING
CHAPTER 13: PREDICTING PLANT STACK EMISSIONS TO MEET ENVIRONMENTAL LIMITS
CHAPTER 14: PREDICTING FOULING/COKING IN FIRED HEATERS
CHAPTER 15: PREDICTING OPERATIONAL CREDITS
CHAPTER 16: PILOT PLANT SCALE-UP BY INTERPRETING TRACER DIAGNOSTICS
CHAPTER 17: PREDICTING DISTILLATION TOWER TEMPERATURES: MINING DATA FOR CAPTURING DISTINCT OPERATIONAL VARIABILITY
CHAPTER 18: ENABLING NEW PROCESS DESIGN BASED ON LABORATORY DATA
CHAPTER 19: FORECASTING PRICE CHANGES OF A COMPOSITE BASKET OF COMMODITIES
CHAPTER 20: CORPORATE DEMOGRAPHIC TREND ANALYSIS
EPILOGUE
<CENTER>Appendices</CENTER>
APPENDIX A1: THERMODYNAMICS AND INFORMATION THEORY
APPENDIX A2: MODELING.