๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Pattern Recognition in Soft Computing Paradigm

โœ Scribed by Nikhil R. Pal


Year
2001
Tongue
English
Leaves
411
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realize the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subject information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing.


๐Ÿ“œ SIMILAR VOLUMES


New Learning Paradigms in Soft Computing
โœ H. H. Yang, S. Amari (auth.), Professor Lakhmi C. Jain, Professor Janusz Kacprzy ๐Ÿ“‚ Library ๐Ÿ“… 2002 ๐Ÿ› Physica-Verlag Heidelberg ๐ŸŒ English

<p>Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and tec

Progress in Pattern Recognition (Advance
โœ Sameer Singh (editor), Maneesha Singh (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

<span>Overview andGoals Pattern recognition has evolved as a mature field of data analysis and its practice involves decision making using a wide variety of machine learning tools. Over the last three decades, substantial advances have been made in the areas of classification, prediction, optimisati

Soft Computing Approach to Pattern Class
โœ Kumar S. Ray (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2012 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p>Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algor

Soft Computing Applications in Optimizat
โœ Leslie Astudillo, Patricia Melin, Oscar Castillo (auth.), Patricia Melin, Oscar ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><p>Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is org

Soft Computing in Chemical and Physical
โœ Kanchan Sarkar, Sankar Prasad Bhattacharyya ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› CRC Press ๐ŸŒ English

This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background of soft computing and how to adapt soft computing techniques to problem solving in physical and chemical research. Soft computing methods have been little explored b