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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 textbook offers a unified engineering perspective on Neural Networks and Fuzzy Logic. The authors guide readers swiftly and succinctly through the intricate subjects of neural networks, fuzzy logic, and the mathematical modeling of Fuzzy Logic Control. The theory of fuzzy logic provides a mathematical framework to capture uncertainties related to human cognitive processes, such as thinking and reasoning. Conventional methods for knowledge representation lack the means to signify the meaning of fuzzy concepts. The authors discuss fundamental ideas and elucidate various techniques using numerous examples. This book is an ideal text for students majoring in Electrical and Electronics Engineering, Electronics and Communication Engineering, Computer Science Engineering, and Information Technology at the undergraduate level.
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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 textbook offers a unified engineering perspective on Neural Networks and Fuzzy Logic. The authors guide readers swiftly and succinctly through the intricate subjects of neural networks, fuzzy logic, and the mathematical modeling of Fuzzy Logic Control. The theory of fuzzy logic provides a mathematical framework to capture uncertainties related to human cognitive processes, such as thinking and reasoning. Conventional methods for knowledge representation lack the means to signify the meaning of fuzzy concepts. The authors discuss fundamental ideas and elucidate various techniques using numerous examples. This book is an ideal text for students majoring in Electrical and Electronics Engineering, Electronics and Communication Engineering, Computer Science Engineering, and Information Technology at the undergraduate level.