Deep Neural Networks (e-bog) af Ye, Chengxu
Ye, Chengxu (forfatter)

Deep Neural Networks e-bog

436,85 DKK (inkl. moms 546,06 DKK)
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors' 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet, and allows reader to extend ...
E-bog 436,85 DKK
Forfattere Ye, Chengxu (forfatter)
Udgivet 19 marts 2019
Længde 340 sider
Genrer KCHS
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780429760990
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors' 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet, and allows reader to extend the techniques in the book to solve scientific and engineering problems. The book will be of interest to engineers, senior undergraduates, postgraduates, and researchers in the fields of neuronets, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, simulation and modeling, deep learning, and data mining. FeaturesFocuses on neuronet models, algorithms, and applicationsDesigns, constructs, develops, analyzes, simulates and compares various WASD neuronet models, such as single-input WASD neuronet models, two-input WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximationsIncludes real-world applications, such as population predictionProvides complete mathematical foundations, such as Weierstrass approximation, Bernstein polynomial approximation, Taylor polynomial approximation, and multivariate function approximation, exploring the close integration of mathematics (i.e., function approximation theories) and computers (e.g., computer algorithms)Utilizes the authors' 20 years of research on neuronets