Advanced Randomized Neural Networks For Pattern Analysis: 1 (Advances in Pattern Analysis and Intelligent Sensing) - Tapa dura
Sinopsis
This book is the culmination of our research in the recent decade on randomized neural networks with data-dependent supervision mechanisms. Traditional randomized neural networks mainly focused on constructing various deep neural networks with data independent random weights, ignoring the impact of the number of nodes and scope of parameters on the universal approximation property (UAP) of randomized neural networks. Comprising of 15 chapters, Advanced Randomized Neural Networks for Pattern Analysis introduces systematic solutions for advanced data-dependent stochastic configuration networks, namely algorithms that assign random parameters and construct network structures incrementally. The book is segmented into three major sections — neural networks optimization, robust data analysis, and deep fusion learning — that feature the successful performance of advanced randomized neural networks in various pattern analysis problems. We anticipate that both researchers and engineers in the field of artificial neural networks, particularly pattern recognition and medical diagnosis, will find this book and the associated algorithms useful, and we hope that anyone with an interest in the related research field will find the book enjoyable and informative.
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Advanced Randomized Neural Networks For Pattern Analysis (Advances in Pattern Analysis and Intelligent Sensing)
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ADVANCED RANDOMIZED NEURAL NETWORKS FOR PATTERN ANALYSIS
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Advanced Randomized Neural Networks For Pattern Analysis (Hardcover)
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World Scientific Publishing Co Pte Ltd, Singapore, 2025
ISBN 10: 9819814685
ISBN 13: 9789819814688
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Hardcover. Condición: new. Hardcover. This book is the culmination of our research in the recent decade on randomized neural networks with data-dependent supervision mechanisms. Traditional randomized neural networks mainly focused on constructing various deep neural networks with data independent random weights, ignoring the impact of the number of nodes and scope of parameters on the universal approximation property (UAP) of randomized neural networks. Comprising of 15 chapters, Advanced Randomized Neural Networks for Pattern Analysis introduces systematic solutions for advanced data-dependent stochastic configuration networks, namely algorithms that assign random parameters and construct network structures incrementally. The book is segmented into three major sections neural networks optimization, robust data analysis, and deep fusion learning that feature the successful performance of advanced randomized neural networks in various pattern analysis problems. We anticipate that both researchers and engineers in the field of artificial neural networks, particularly pattern recognition and medical diagnosis, will find this book and the associated algorithms useful, and we hope that anyone with an interest in the related research field will find the book enjoyable and informative. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789819814688
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ADVANCED RANDOMIZED NEURAL NETWORKS FOR PATTERN ANALYSIS
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Advanced Randomized Neural Networks For Pattern Analysis
Publicado por
World Scientific Publishing Co Pte Ltd, SG, 2025
ISBN 10: 9819814685
ISBN 13: 9789819814688
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Hardback. Condición: New. This book is the culmination of our research in the recent decade on randomized neural networks with data-dependent supervision mechanisms. Traditional randomized neural networks mainly focused on constructing various deep neural networks with data independent random weights, ignoring the impact of the number of nodes and scope of parameters on the universal approximation property (UAP) of randomized neural networks. Comprising of 15 chapters, Advanced Randomized Neural Networks for Pattern Analysis introduces systematic solutions for advanced data-dependent stochastic configuration networks, namely algorithms that assign random parameters and construct network structures incrementally. The book is segmented into three major sections - neural networks optimization, robust data analysis, and deep fusion learning - that feature the successful performance of advanced randomized neural networks in various pattern analysis problems. We anticipate that both researchers and engineers in the field of artificial neural networks, particularly pattern recognition and medical diagnosis, will find this book and the associated algorithms useful, and we hope that anyone with an interest in the related research field will find the book enjoyable and informative. Nº de ref. del artículo: LU-9789819814688
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ADVANCED RANDOMIZED NEURAL NETWORKS FOR PATTERN ANALYSIS
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Advanced Randomized Neural Networks For Pattern Analysis: 0 (Advances In Pattern Analysis And Intelligent Sensing)
Publicado por
World Scientific Publishing Co Pte Ltd, 2025
ISBN 10: 9819814685
ISBN 13: 9789819814688
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Librería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 368 pages. 3.94x3.94x2.36 inches. In Stock. Nº de ref. del artículo: x-9819814685
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ADVANCED RANDOMIZED NEURAL NETWORKS FOR PATTERN ANALYSIS
Impresión bajo demandaLibrería: preigu, Osnabrück, Alemania
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Buch. Condición: Neu. ADVANCED RANDOMIZED NEURAL NETWORKS FOR PATTERN ANALYSIS | Zhang Chenglong | Buch | Englisch | 2025 | World Scientific | EAN 9789819814688 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134113947
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Advanced Randomized Neural Networks For Pattern Analysis (Hardcover)
Publicado por
World Scientific Publishing Co Pte Ltd, Singapore, 2025
ISBN 10: 9819814685
ISBN 13: 9789819814688
Nuevo
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Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. This book is the culmination of our research in the recent decade on randomized neural networks with data-dependent supervision mechanisms. Traditional randomized neural networks mainly focused on constructing various deep neural networks with data independent random weights, ignoring the impact of the number of nodes and scope of parameters on the universal approximation property (UAP) of randomized neural networks. Comprising of 15 chapters, Advanced Randomized Neural Networks for Pattern Analysis introduces systematic solutions for advanced data-dependent stochastic configuration networks, namely algorithms that assign random parameters and construct network structures incrementally. The book is segmented into three major sections neural networks optimization, robust data analysis, and deep fusion learning that feature the successful performance of advanced randomized neural networks in various pattern analysis problems. We anticipate that both researchers and engineers in the field of artificial neural networks, particularly pattern recognition and medical diagnosis, will find this book and the associated algorithms useful, and we hope that anyone with an interest in the related research field will find the book enjoyable and informative. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9789819814688
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