Automatic Learning Techniques in Power Systems
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Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated.
This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics both classical and modern , and from artificial intelligence both hard and soft computing. The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems.
Deep Learning is Large Neural Networks
Aleksei Zhukov - Google Scholar Citations
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Readers learn step-by-step the key requirements for debugging a modern, silicon Discrete Event Systems: Analysis and Control. This book provides a survey of the current state of the art in the Electrophysiology of the Central Nervous System.
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