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ICANN
2010
Springer
13 years 6 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...
ICANN
2010
Springer
13 years 3 months ago
2010
Springer
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In this article we exploit the discrete-time dynamics of a single neuron with self-connection to systematically design simple signal filters. Due to hysteresis effects an...