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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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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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With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neiroscience
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Algebraic Structures in Natural Language by bringing together leading researchers from computational and mathematical linguistics, psychology and behavioural... Læs mere
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This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods... Læs mere
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This book introduces AI-based Lagrange optimization techniques which enable more optimised concrete structural design,... Læs mere