Titlebook: Neural Networks in Robotics; George A. Bekey (Professor),Kenneth Y. Goldberg (A Book 1993 Springer Science+Business Media New York 1993 ex

无能性

Hugues Bersini,Luis Gonzalez Sotelino,Eric Decossaux

反对

Marco Saerens,Alain Soquet,Jean-Michel Renders,Hugues Bersini

水汽

A. G. Chassiakos,E. B. Kosmatopoulos,M. A. Christodoulou

尽管

Learning Global Topological Properties of Robot Kinematic Mappings for Neural Network-based Configur be globally regularized, and both the forward and inverse mappings can be completely learned. A non-linear function approximator such as a neural network can then be used to provide a solution to the inverse kinematics problem, allowing configuration control at a logical level.

流动性

Some Preliminary Comparisons Between a Neural Adaptive Controller and a Model Reference Adaptive Conly, could be more appropriate in the case of control of that much has to be done to study the conditions of convergence of networks, in order to understand what can be really done by neural nets in non-linear control.

Bricklayer

allergen

CHASM

Nicolas Seube as possible. Phenomenological descriptions using models were preferred to an abstract matbematical presenta­ tion, even tbough many simplifications bad tben to978-3-662-14105-2Series ISSN 0342-4111 Series E-ISSN 1556-1534

镀金

宏伟