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Machine learning methods are used in various fields in environmental sciences today. This is the first single-authored... Læs mere
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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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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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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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In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide... Læs mere
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This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.
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This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on... Læs mere