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This book presents output sensitivity of the most popular feedforward neural network, MLPs (Multi-Layer Perceptrons), with respect to input and weight perturbations. Based on the structural features of MLPs, a bottom-up approach is proposed, in which the sensitivity of a neuron is considered first, then is that of a layer, and finally an entire network. Besides, applications of the sensitivity are also discussed.
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Informazioni sull'autore
Xiaoqin Zeng received BS degree from Nanjing University, MS degree from Southeast University and PhD degree from Hong Kong Polytechnic University. He currently is a professor, PhD student supervisor at Hohai University, has successfully taken charge of research projects awarded by National Natural Science Foundation of China, and has published research papers in some top academic Journals. His research interests include Computational Intelligence and machine learning etc.
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Output Sensitivity of MLPs Derived from Statistical Expectation
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents output sensitivity of the most popular feedforward neural network, MLPs (Multi-Layer Perceptrons), with respect to input and weight perturbations. Based on the structural features of MLPs, a bottom-up approach is proposed, in which the sensitivity of a neuron is considered first, then is that of a layer, and finally an entire network. Besides, applications of the sensitivity are also discussed. 116 pp. Englisch. Codice articolo 9783639829891
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Output Sensitivity of MLPs Derived from Statistical Expectation
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Paperback. Condizione: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock. Codice articolo 3639829891
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Output Sensitivity of MLPs Derived from Statistical Expectation
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents output sensitivity of the most popular feedforward neural network, MLPs (Multi-Layer Perceptrons), with respect to input and weight perturbations. Based on the structural features of MLPs, a bottom-up approach is proposed, in which the sensitivity of a neuron is considered first, then is that of a layer, and finally an entire network. Besides, applications of the sensitivity are also discussed. Codice articolo 9783639829891
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Output Sensitivity of MLPs Derived from Statistical Expectation
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnXiaoqin Zeng received BS degree from Nanjing University, MS degree from Southeast University and PhD degree from Hong Kong Polytechnic University. He currently is a professor, PhD student supervisor at Hohai University, ha. Codice articolo 510204213
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Output Sensitivity of MLPs Derived from Statistical Expectation
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents output sensitivity of the most popular feedforward neural network, MLPs (Multi-Layer Perceptrons), with respect to input and weight perturbations. Based on the structural features of MLPs, a bottom-up approach is proposed, in which the sensitivity of a neuron is considered first, then is that of a layer, and finally an entire network. Besides, applications of the sensitivity are also discussed.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 116 pp. Englisch. Codice articolo 9783639829891
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Output Sensitivity of MLPs Derived from Statistical Expectation
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Taschenbuch. Condizione: Neu. Output Sensitivity of MLPs Derived from Statistical Expectation | Xiaoqin Zeng | Taschenbuch | Englisch | 2017 | ¿¿¿¿¿¿¿ | EAN 9783639829891 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 120576213
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