Pattern Recognition in Industry

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 Dr. Bhagat has put his finger on a problem of enormous practical significance and intellectual challenge. The recent technology-driven advances in the ability to generate data have outpaced the ability to understand their meaning. Systematic, quantitative methods aimed at transforming data into useable information are greatly needed. This text will help scientists and engineers understand data and information and assist in the conversion of the former into the latter. Michael T. Klein, Dean, School of Engineering, Rutgers, The State University of New Jersey The 21st century is characterized by ready access to large amounts of data on nearly any subject. Computers, modern instrumentation, the world wide web, search engines, massive data storage capabilities, and modern telecommunications networks make this possible. Modern sciences are now beginning to be deployed to mine these data and bring added value from them. Dr. Bhagat, a professor with many years of industrial experience, has written a monograph explaining and illustrating how computer modeling using neural network theory can be applied to industrial problems of great complexity and importance. This excellent monograph contains an introduction to the theoretical foundations of how biological principles of learning can be applied to complex problems in industry. He illustrates the theory by providing a number of case studies. Examples, drawn from his industrial experience show how, for example, a superior design of a complex chemical process can be obtained. Another case illustrates how management may develop a better predictive model from corporate data to develop a more profitable business strategy. Robert A. Gross Percy K. and Vida L. W. Hudson Professor Emeritus and Dean Emeritus of the Faculty of Engineering and Applied Science, Columbia University