Intelligent Data Analysis in Science

Intelligent Data Analysis in Science

by Hugh M. Cartwright
     
 

ISBN-10: 0198502338

ISBN-13: 9780198502333

Pub. Date: 06/01/2000

Publisher: Oxford University Press, USA

This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: papers reporting the application of AI methods in chemistry are

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Overview

This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: papers reporting the application of AI methods in chemistry are currently being published at a rate of several hundred a year; similar figures apply to other areas of science, and the numbers are increasing rapidly. This book leads the reader into the relevant research literature, and provides both the principles and applications of the subject at a level accessible to senior undergraduates and beginning postgraduates.

Product Details

ISBN-13:
9780198502333
Publisher:
Oxford University Press, USA
Publication date:
06/01/2000
Series:
Oxford Chemistry Masters Series, #4
Pages:
224
Product dimensions:
7.50(w) x 9.80(h) x 0.80(d)

Table of Contents

1Introduction to intelligent data analysis
2Knowledge transfer: human experts to expert systems
3The genetic algorithms, linkage learning, and scalable data mining
4Theory and application of fuzzy methodology
5Data representations for evolutionary computation
6Applications of artificial neural networks to the analysis of multivariate data
7Applications of knowledge-based systems
8Automatic design of analog electrical circuits using genetic programming
Index

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