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. Features Focuses on
neuronet models, algorithms, and applications Designs, 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 approximations
Includes real-world applications, such as population prediction
Provides 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
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
