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Titlebook: Non-Linear Feedback Neural Networks; VLSI Implementations Mohd. Samar Ansari Book 2014 Springer India 2014 Graph Coloring.Hardware Simulati

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發(fā)表于 2025-3-21 16:40:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Non-Linear Feedback Neural Networks
副標(biāo)題VLSI Implementations
編輯Mohd. Samar Ansari
視頻videohttp://file.papertrans.cn/667/666948/666948.mp4
概述First dedicated book on non-linear feedback neural networks.Contains thorough discussion on transcendental energy function.Includes special chapter on Hopfield Network, its applications, and limitatio
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Non-Linear Feedback Neural Networks; VLSI Implementations Mohd. Samar Ansari Book 2014 Springer India 2014 Graph Coloring.Hardware Simulati
描述This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.
出版日期Book 2014
關(guān)鍵詞Graph Coloring; Hardware Simulation; Hopfield Neural Network; Mathematical Programming; Neural Networks;
版次1
doihttps://doi.org/10.1007/978-81-322-1563-9
isbn_softcover978-81-322-2896-7
isbn_ebook978-81-322-1563-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer India 2014
The information of publication is updating

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Mohd. Samar Ansarial intelligence, including machine learning and deep learning, to devise decision-making models for SE processes that have undergone extensive validation. We aim to provide valuable insights into the usage of data-driven approaches in SE by conducting a systematic mapping based on the studies that w
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Mohd. Samar Ansaris we have to handle these challenges in a long-running research project, this paper aims at identifying risks, challenges and candidate solutions to identify how to bridge the gap from research to industry. Main result of this paper is an adapted software engineering process that has been initially
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Mohd. Samar Ansariare development process measurement component, which was integrated into the agile software process tool employed by the TB?TAK SAGE software development group, were efficiently determined by using the Analytic Hierarchy Process approach. Among the options discussed, our results suggest that the Act
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發(fā)表于 2025-3-22 18:37:34 | 只看該作者
Mohd. Samar Ansariare development process measurement component, which was integrated into the agile software process tool employed by the TB?TAK SAGE software development group, were efficiently determined by using the Analytic Hierarchy Process approach. Among the options discussed, our results suggest that the Act
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Voltage-Mode Neural Network for the Solution of Linear Equations,with presenting the analysis of the NOSYNN-based linear equation solver circuit and proof of its energy function, it is also shown that the stable state of the network corresponds exactly with the solution of the given system of linear equations. Proper working of the network is ascertained by perfo
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發(fā)表于 2025-3-23 09:05:42 | 只看該作者
1860-949X as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.978-81-322-2896-7978-81-322-1563-9Series ISSN 1860-949X Series E-ISSN 1860-9503
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