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APIN
1998
139views more  APIN 1998»
13 years 8 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
CIMCA
2005
IEEE
14 years 2 months ago
Hybrid Neural Networks for Immunoinformatics
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy
ISNN
2005
Springer
14 years 2 months ago
MRF-MBNN: A Novel Neural Network Architecture for Image Processing
Contextual information and a priori knowledge play important roles in image segmentation based on neural networks. This paper proposed a method for including contextual information...
Nian Cai, Jie Yang, Kuanghu Hu, Haitao Xiong
ISNN
2004
Springer
14 years 2 months ago
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks
This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
Bao-Gang Hu, Hong-Jie Xing, Yujiu Yang
PDCAT
2004
Springer
14 years 2 months ago
An Enhanced Fuzzy Neural Network
In this paper, we propose a novel approach for evolving the architecture of a multi-layer neural network. Our method uses combined ART1 algorithm and Max-Min neural network to self...
Kwang-Baek Kim, Young Hoon Joo, Jae-Hyun Cho