715 search results - page 44 / 143 » Neural Network with Matrix Inputs |
GECCO
2009
Springer
14 years 1 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...
EAAI
2007
13 years 8 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
13 years 8 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
13 years 8 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...
EURASIP
1990
14 years 26 days 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...