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Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this title discusses dimensionality reduction... Læs mere
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Explores advances in intelligent control from the theoretical and the practical viewpoints with a focus on the design and analysis of... Læs mere
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Describes a range of neural network solutions for statistical signal processing and for applications in speech, video and biomedical signal processing.
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Develops a mathematical basis for fuzzy neural networks. This work features: fundamental concepts and... Læs mere
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Intended for engineers and computer scientists working in the field of artificial neural networks, this book presents insight as well as different... Læs mere
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An explanation of the basic concepts of neural computation, this book is about the whole field of neural networks and covers the major approaches and their results. It... Læs mere
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This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial... Læs mere
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This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics,... Læs mere
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This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.
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Exploring neuron models, the neural code, decision making and learning, this textbook provides a thorough and up-to-date... Læs mere
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This is a foundational book on optimisation of network structure, not just function, deriving comprehensible and realistic design principles. Connections are made... Læs mere
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Machine learning methods are used in various fields in environmental sciences today. This is the first single-authored... Læs mere