Titlebook: Structure Level Adaptation for Artificial Neural Networks; Tsu-Chang Lee Book 1991 Springer Science+Business Media New York 1991 artificia

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https://doi.org/10.1007/978-1-4615-3954-4artificial neural network; convergence; neural networks; simulation

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Structure Level Adaptation for Artificial Neural Networks978-1-4615-3954-4Series ISSN 0893-3405

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Introduction,ls of the neural network experimentally [74, 51, 52, 57] and theoretically [89, 103, 50, 116, 121, 134, 95], this field remained an active field of research for about 26 years (1943–1969) . These first 26 years can be considered the . of neural network research.

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ically rigorous presentation is supported by numerous exampl.Based on lectures given by the author, this book focuses on providing reliable introductory explanations of key concepts of quantum information theory and quantum statistics - rather than on results. The mathematically rigorous presentatio

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Tsu-Chang Leeshocks, governments try to prevent these exogenous real shocks from inducing consumption volatility. Taking the process that determines these exogenous fluctuations as given, there are two methods through which the government can intervene and prevent excessive consumption volatility. They can use t

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Tsu-Chang Leeshocks, governments try to prevent these exogenous real shocks from inducing consumption volatility. Taking the process that determines these exogenous fluctuations as given, there are two methods through which the government can intervene and prevent excessive consumption volatility. They can use t

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