715 search results - page 44 / 143 » Neural Network with Matrix Inputs |
107
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GECCO
2009
Springer
15 years 4 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
103
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EAAI
2007
14 years 11 months ago
2007
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
ESWA
2007
14 years 11 months ago
2007
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
IJCSA
2007
14 years 11 months ago
2007
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
102
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EURASIP
1990
15 years 3 months ago
1990
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...