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Abstract: this paper. Fukushima's Neocognitron is capable of recognizing distorted patterns as well as tolerating positional shift. Supervised learning of the Neocognitron is fulfilled by training patterns layer by layer. However, many parameters, such as selectivity and receptive fields are set manually. Furthermore, in Fukushima's original Neocognitron, all the training patterns are designed empirically. In this paper, we use Genetic Algorithms (GAs) to tune the parameters of Neocognitron and... (Update)
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BibTeX entry: (Update)
@misc{ publishing-international,
author = "World Scientific Publishing",
title = "International Journal of Neural Systems, Vol. 9, No. 6 (December, 1999)
497--509",
url = "citeseer.ist.psu.edu/739142.html" }
Citations (may not include all citations):52 Genetic evolution of the topology and weight distribution of.. (context) - Maniezzo - 1994
35 Handwritten alphanumeric character recognition by the neocog.. (context) - Fukushima, Wake - 1991
34 Coevolutionary computation - Paredis - 1995
30 Neocognitron: A new algorithm for pattern recognition tolera.. (context) - Fukushima - 1982
28 Neocognitron: A hierarchical neural network capable of visua.. (context) - Fukushima - 1988
26 Implicit niching in a learning classifier system: Nature's W.. - Horn, Goldberg et al. - 1994
16 Evolving the topology and the weights of neural networks usi.. - Pujol - 1998
13 Searching for diverse, cooperative populations with genetic .. - Smith - 1993
9 A neural network for visual pattern recognition (context) - Fukushima - 1988
9 Optimal training of thresholded linear correlation classifie.. (context) - Hildebrandt - 1991
6 An improved learning algorithm for the neocognitron (context) - Fukushima, Wake - 1992
4 Neocognitron with dual C-cell Layer (context) - Fukushima - 1994
3 Forming neural networks through e#cient and adaptive coevolu.. (context) - Moriarty, Miikkulainen - 1998
3 inen 1996, "E#cient reinforcement learning through symbiotic.. (context) - Moriarty, Miikkula - 1996
2 Pattern recognition in the neocognitron is improved by neuro.. - van Ooyen, Nienhuis - 1993
2 Neocognitron based handwriting recognition system performanc.. (context) - Yeung - 1998
1 A hybrid cognitive system using production rules to synthesi.. (context) - Yeung, Chan - 1994
1 Incorporating production rules with spatial information onto.. (context) - Yeung - 1994
1 Mapping multilayer attributed graphs onto neocognitron netwo.. (context) - Chan, Yeung - 1991
1 Optimal training of threshold linear correlation classifiers (context) - Lovell, on - 1993
1 Acquired structure, adapted parameters: Modifications of the.. (context) - Trotin - 1991
1 Sensitivity analysis of Neocognitron (context) - Cheng, Yeung - 1999
1 A neural net sized by data (context) - Darbel, Trotin et al. - 1991
1 Neural network model for selective attention in visiual patt.. (context) - Fukushima, Miyake - 1987
1 Evolving neuro-controllers for a dynamic system using struct.. (context) - Dasgupta - 1998
1 Recognition and segmentation of connected selective attentio.. (context) - Fukushima - 1993
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