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Bemærk: Kan ikke leveres før jul.
It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more.
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This book constitutes the refereed proceedings of the 10th IAPR TC3... Læs mere
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Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena.
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Covering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the topic.
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This book goes into a detailed investigation of adapting artificial neural network (ANN) and structural equation modeling (SEM) techniques in marketing and consumer research.
Bemærk: Kan ikke leveres før jul.
It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more.
Bemærk: Kan ikke leveres før jul.
It covers topics such as fuzzy intuitionistic Hilbert spaces, intuitionistic fuzzy differential equations, fuzzy intuitionistic metric spaces, and numerical methods for differential equations.
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The text comprehensively discusses computational models including artificial neural networks, agent-based... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variations.
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This introduces artificial neural network-based Lagrange optimization techniques for structural design in... Læs mere