498 search results - page 58 / 100 » Training Neural Networks with GA Hybrid Algorithms |
ICANNGA
2009
Springer
14 years 3 months ago
2009
Springer
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
ICGA
1993
13 years 9 months ago
1993
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
SSPR
1998
Springer
14 years 21 days ago
1998
Springer
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
IJCAI
1997
13 years 9 months ago
1997
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
TSMC
1998
13 years 8 months ago
1998
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...