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Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various... Læs mere
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This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed... Læs mere
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The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017.
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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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This work examines the use of advance warning models to predict flooding and flood damage. Specifically, it includes an examination of the Artificial Neural Network (ANN) rainfall-runoff model, its suitability, uses and limitations.
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With the help of practical examples and engaging activities, The... Læs mere
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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
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This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society.
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This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society.