NEURAL NETWORKS, FUZZY LOGIC, AND GENETIC ALGORITHMS : SYNTHESIS AND APPLICATIONS (WITH CD-ROM)

This book provides comprehensive introduction to a consortium of technologies underlying soft computing. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization.
This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year postgraduate engineering levels.

• Introduction to Fuzzy Logic
• Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners
• Make Your Own Neural Network
• Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
• Python for Everybody: Exploring Data in Python 3
• Markov Models: Understanding Markov Models and Unsupervised Machine Learning in Python with Real-World Applications
• Elastic: Flexible Thinking in a Time of Change
• Introduction to Empirical Bayes: Examples from Baseball Statistics
• Bayes Theorem Examples: A Visual Guide For Beginners
• Principia: The Mathematical Principles of Natural Philosophy [Active Content]