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Add to basketBuch. Condition: Neu. Neuware -The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 114 pp. Englisch.
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Add to basketSoftcover. Condition: New. Dust Jacket Condition: no dj. First. Temporal Data Analysis with Recurrent Neural Networks presents a comprehensive exploration of the intersection of artificial intelligence and temporal data analysis. By examining the potential for recurrent neural networks to analyze and understand complex temporal data, this book reveals the potential for AI systems to drive innovation in fields such as finance, healthcare, and transportation. Through a series of case studies and experiments, the author demonstrates the power of recurrent neural networks to analyze and predict complex temporal patterns, uncovering insights into the dynamics of human behavior and social interactions. As the need for more sophisticated temporal data analysis continues to grow, Temporal Data Analysis with Recurrent Neural Networks offers a timely and authoritative guide to the latest developments in this exciting field. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThe RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal me.
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems. 114 pp. Englisch.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.