Preface
Acknowledgments
About the Author
Part I Philosophy
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
Part II Technology
CHAPTER 5: SUPERVISED LEARNING—CORRELATIVE 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
Part III Case Studies
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
Appendices
APPENDIX A1: THERMODYNAMICS AND INFORMATION THEORY
APPENDIX A2: MODELING
Phiroz BhagatPhiroz Bhagat pioneered the development and application of pattern recognition technology for technical and business operations in industry. He has developed and deployed state-of-the-art architectures, and brings to bear over two decades of experience in the application of cutting-edge technology for improved profitability and performance.Dr. Bhagat graduated from the Indian Institute of Technology in Bombay, and earned his doctorate at the University of Michigan, Ann Arbor. He was a post-doctoral Research Fellow at Harvard University in Cambridge, Massachusetts, and taught thermodynamics and energy conversion as a faculty member at Columbia University in New York City. He then joined Exxon (now ExxonMobil) where he spearheaded major projects involving modeling and simulation of multi-million dollar plant units. His work in pattern recognition technology began in the late 1980s, and continues today. In January 2004 he co-founded International Strategy Engines, focusing on providing clients with cutting edge pattern recognition-based solutions for improved operations and profitability. He can be reached at pmbhagat@strategyengines.com.
"Phiroz Bhagat tackles the important problem of data inundation in this book, and offers innovative strategies using pattern recognition theory in practical applications. There are good ideas here, well worth exploring." Peter Likins President, University of Arizona
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