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This book explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language.
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This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language.
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This book describes an extensive and consistent soft error assessment of... Læs mere
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In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process.
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Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making;
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The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems.
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Explainable AI methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS.
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Addressing the issue of Cyberbullying to find effective solutions is a challenge for the web mining community, particularly within... Læs mere
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This book demystifies deep learning and AI, making complex concepts accessible to all readers. It blends theory with practical... Læs mere
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Provides applications of membrane technology in areas from wastewater treatment to several biomedical applications.... Læs mere
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This book will help readers to apply deep learning algorithms in R using... Læs mere