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This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networ...
This book introduces readers to using the simple but effective Zhang-gradient (ZG) method to solve tracking-control problems concerning various nonlin...
This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functi...
Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipul...
Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques,...
WASD Neuronet Models, Algorithms, and Applications
Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with...
Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, enginee...
The real-time solution to a mathematical problem arises in numerous fields of science, engineering, and business. It is usually an essential part of m...
The latest in parallel EM solutions with both in-core and out-of-core solvers The solution of complex electromagnetic (EM) problems requires one to ad...