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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This text summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic; genetic algorithms; case-based reasoning; neural networks; and expert systems. The study reviews the status and significance of research into their integration. Engineering and scientific examples, and case studies are used to illustrate principles and application development techniques. The book starts with a summary of the five intelligent technologies and of the issues in as well as current status of research into them. Each chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples. The book should enable the reader to: describe the important concepts, strengths and limitations of each technology; recognize and analyze potential problems with the application of hybrid systems; choose appropriate hybrid intelligent solutions; understand how applications are designed with any of the approaches covered; and choose appropriate commercial development shells or tools.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This text summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic; genetic algorithms; case-based reasoning; neural networks; and expert systems. The study reviews the status and significance of research into their integration. Engineering and scientific examples, and case studies are used to illustrate principles and application development techniques. The book starts with a summary of the five intelligent technologies and of the issues in as well as current status of research into them. Each chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples. The book should enable the reader to: describe the important concepts, strengths and limitations of each technology; recognize and analyze potential problems with the application of hybrid systems; choose appropriate hybrid intelligent solutions; understand how applications are designed with any of the approaches covered; and choose appropriate commercial development shells or tools.