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IJCNN
2000
IEEE
15 years 11 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
IDEAL
2004
Springer
15 years 12 months ago
Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...
Zeshan Kurd, Tim P. Kelly, Jim Austin
ICANN
2010
Springer
15 years 7 months ago
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
Kevin Brohan, Kevin N. Gurney, Piotr Dudek
ICANN
2007
Springer
16 years 22 days ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
ISNN
2005
Springer
16 years 2 days ago
Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
Georg Pölzlbauer, Andreas Rauber, Michael Dit...