Find it hard to extract and utilise valuable knowledge from the everincreasing data deluge? If so this book will help as it explores patternrecognition technolo... » 

Find it hard to extract and utilise valuable knowledge from the everincreasing data deluge? If so this book will help as it explores patternrecognition technology and its concomitant role in extracting usefulinformation to build technical and business models to gain competitiveindustrial advantage.Based on firsthand experience in the practice of pattern recognitiontechnology and its development and deployment for profitable application inIndustry.Phiroz Bhagat is often referred to as the pioneer of neural net and patternrecognition technology and is uniquely qualified to write this book. He bringsmore than two decades of experience in the realworld application of cuttingedge technology for competitive advantage in industry.Two wave fronts are upon us today we are being bombarded by an enormous amountof data and we are confronted by continually increasing technical and businessadvances.Ideally the endless stream of data should be one of our major assets. Howeverthis potential asset often tends to overwhelm rather than enrich. Competitiveadvantage depends on our ability to extract and utilize nuggets of valuableknowledge and insight from this data deluge. The challenges that need to beovercome include the underutilization of available data due to competingpriorities and the separate and somewhat disparate existing data systems thathave difficulty interacting with each other.Conventional approaches to formulating models are becoming progressively moreexpensive in time and effort. To impart a competitive edge engineering sciencein the 21st century needs to augment traditional modelling processes by autoclassifying andselforganizing data developing models directly from operatingexperience and then optimizing the results to provide effective strategies andoperating decisions. This approach has wide applicability in areas rangingfrom manufacturing processes product performance and scie «