"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.
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 this technology: 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.
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