Memory neuron networks for identification and control of dynamical systems.
about
Generating balanced learning and test sets for function approximation problems.Nonlinear system identification based on internal recurrent neural networks.Comparative Study of Neural Networks for Control of Nonlinear Dynamical Systems with Lyapunov Stability-Based Adaptive Learning RatesHybrid Recurrent Laguerre-Orthogonal-Polynomial NN Control System Applied in V-Belt Continuously Variable Transmission System Using Particle Swarm Optimization
P2860
Memory neuron networks for identification and control of dynamical systems.
description
1994 nî lūn-bûn
@nan
1994年の論文
@ja
1994年学术文章
@wuu
1994年学术文章
@zh
1994年学术文章
@zh-cn
1994年学术文章
@zh-hans
1994年学术文章
@zh-my
1994年学术文章
@zh-sg
1994年學術文章
@yue
1994年學術文章
@zh-hant
name
Memory neuron networks for identification and control of dynamical systems.
@en
Memory neuron networks for identification and control of dynamical systems.
@nl
type
label
Memory neuron networks for identification and control of dynamical systems.
@en
Memory neuron networks for identification and control of dynamical systems.
@nl
prefLabel
Memory neuron networks for identification and control of dynamical systems.
@en
Memory neuron networks for identification and control of dynamical systems.
@nl
P2093
P356
P1476
Memory neuron networks for identification and control of dynamical systems.
@en
P2093
G Santharam
K P Unnikrishnan
P S Sastry
P304
P356
10.1109/72.279193
P577
1994-01-01T00:00:00Z