524 search results - page 35 / 105 » Training Feedforward Neural Networks Using Genetic Algorithm... |
169
click to vote
ESOA
2006
15 years 10 months ago
2006
This paper describes a car traffic control simulation realised in a decentralised way by message propagations: congested nodes (roads intersections) send speed-up or slow-down mess...
144
Voted
IJCNN
2006
IEEE
16 years 11 days ago
2006
IEEE
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
176
click to vote
ESANN
2006
15 years 7 months ago
2006
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
195
click to vote
AINA
2010
IEEE
15 years 3 months ago
2010
IEEE
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
175
click to vote
CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...