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» Evolving a neural network using dyadic connections
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AI
2002
Springer
13 years 7 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
ESANN
2003
13 years 9 months ago
Meter value recognition using locally connected hierarchical networks
This paper describes a two-stage system for the recognition ge meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained in a sup...
Sven Behnke
IWANN
2009
Springer
14 years 2 months ago
A Genetic Algorithm for ANN Design, Training and Simplification
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
Daniel Rivero, Julian Dorado, Enrique Ferná...
ACSC
2005
IEEE
14 years 1 months ago
Graph Grammar Encoding and Evolution of Automata Networks
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
Martin H. Luerssen

Publication
303views
12 years 6 months ago
Evolutionary synthesis of analog networks
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
Claudio Mattiussi