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» Convergence of a Neural Network Classifier
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BC
2006
105views more  BC 2006»
13 years 9 months ago
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...
Cengiz Günay, Anthony S. Maida
WCE
2007
13 years 10 months ago
Neural Network Global Sliding Mode PID Control for Robot Manipulators
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
T. C. Kuo, Y. J. Huang
ENGL
2008
139views more  ENGL 2008»
13 years 9 months ago
Global Stabilization of Robot Control with Neural Network and Sliding Mode
This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode contro...
T. C. Kuo, Y. J. Huang
TNN
2008
82views more  TNN 2008»
13 years 9 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 10 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein