There is now a growing realisation in the intelligent systems community that many complex problems require hybrid solutions. Increasingly, hybrid systems combining genetic algorithms, fuzzy logic, neural networks and expert systems are proving their effectiveness in a wide variety of real-world problems. This timely book brings together leading researchers from the United States, Europe and Asia who are pioneering the theory and application of Intelligent Hybrid Systems. The book provides a definition of hybrid systems, summarises the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques. Application examples are drawn from domains including industrial control, financial and business modelling, and cognitive simulation. The book is also intended to equip researchers, application developers and managers with key references and resource material for the successful development of hybrid systems.
From the Publisher
Internationally renowned experts came together to produce this book, which will clarify and define the emerging and significant area of hybridizing intelligent systems. Each chapter covers the integration of two techniques, such as expert systems and neural networks. This integration is better known in the AI community as hybridizing intelligent systems. Each hybridization process is explained in detail, including the rationale for choosing the intelligent systems. Each article within this work will provide an overview of the technologies involved and their application to real-world problems.
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