无能性
发表于 2025-3-27 00:05:27
Hugues Bersini,Luis Gonzalez Sotelino,Eric Decossaux
反对
发表于 2025-3-27 01:29:25
Marco Saerens,Alain Soquet,Jean-Michel Renders,Hugues Bersini
水汽
发表于 2025-3-27 08:52:17
A. G. Chassiakos,E. B. Kosmatopoulos,M. A. Christodoulou
尽管
发表于 2025-3-27 09:30:44
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
发表于 2025-3-27 13:41:51
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
发表于 2025-3-27 20:20:39
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allergen
发表于 2025-3-28 00:57:24
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CHASM
发表于 2025-3-28 03:31:48
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
发表于 2025-3-28 07:12:15
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宏伟
发表于 2025-3-28 12:32:58
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