Chapman & Hall/CRC artificial intelligence and robotics series
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index
یادداشتهای مربوط به مندرجات
متن يادداشت
Single-input Euler-polynomial WASD neuronet -- Single-input Bernoulli-polynomial WASD neuronet -- Single-input Laguerre-polynomial WASD neuronet -- Two-input Legendre-polynomial WASD neuronet -- Two-input Chebyshev-polynomial-of-class-1 WASD neuronet -- Two-input Chebyshev-polynomial-of-class-2 WASD neuronet -- Three-input Euler-polynomial WASD neuronet -- Three-input Power-activation WASD neuronet -- Multi-input Euler-polynomial WASD neuronet -- Multi-input Bernoulli-polynomial WASD neuronet -- Multi-input Hermite-polynomial WASD neuronet -- Multi-input sine-activation WASD neuronet -- Application to Asian population prediction -- Application to European population prediction -- Application to Oceanian population prediction -- Application to Northern American population prediction -- Application to Indian subcontinent population prediction -- Application to world population prediction -- Application to Russian population prediction -- WASD neuronet versus BP neuronet applied to Russian population prediction -- Application to Chinese population prediction -- WASD neuronet versus BP neuronet applied to Chinese population prediction -- Application to USPD prediction -- Application to time series prediction -- Application to GFR estimation
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Ingram Content Group
شماره انبار
9780429760983
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Toward deep neural networks.
شماره استاندارد بين المللي کتاب و موسيقي
9781138387034
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Neural networks (Computer science)
موضوع مستند نشده
BUSINESS & ECONOMICS / Statistics
موضوع مستند نشده
COMPUTERS / General
موضوع مستند نشده
COMPUTERS / Machine Theory
موضوع مستند نشده
Neural networks (Computer science)
مقوله موضوعی
موضوع مستند نشده
BUS-- 061000
موضوع مستند نشده
COM-- 000000
موضوع مستند نشده
COM-- 037000
موضوع مستند نشده
UYQ
رده بندی ديویی
شماره
006
.
3/2
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
87
نشانه اثر
.
Z47537
2019eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )