Do smart adaptive systems exist? : best practice for selection and combination of intelligent methods

Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.

It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.

Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.

Do Smart Adaptive Systems Exist?

Introduction

Problem Definition

From Applications to Methods

Data Preparation and Preprocessing

Part I From Methods to Applications

Artificial Neural Networks

Machine Learning and Reinforcement Learning

Fuzzy Expert Systems

Learning Algorithms for Neuro-Fuzzy Systems

Hybrid Intelligent Systems. Evolving Intelligence in Hierarchical Layers

Evolving Connectionist Systems with Evolutionary Self-Optimisation

Part II From Applications to Methods

Monitoring

Examples of Smart Adaptive Systems in Model-Based Diagnosis

Design of Adaptive Fuzzy Controllers

Optimal Design Synthesis of Component-based Systems using Intelligent Techniques

Intelligent Methods in Finance Applications. From Questions to Solutions

Neuro-Fuzzy Systems for Explaining Data Sets

Consistent, User Adaptable Solution to Data Mining

Adaptive Multimedia Retrieval. From Data to User Interaction

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Summary

Summary

Table of Contents