Evolutionary Computation Applied to the Automatic Design of Artificial Neural Networks and Associative Memories

2013 ◽  
pp. 285-297 ◽  
Author(s):  
Humberto Sossa ◽  
Beatriz A. Garro ◽  
Juan Villegas ◽  
Gustavo Olague ◽  
Carlos Avilés
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Evolutionary Computation ◽  
Automatic Design ◽  
Associative Memories ◽  
Artificial Neural

Development of ANN with Adaptive Connections by CE

2006 ◽  
pp. 71-93
Author(s):  
Julián Dorado ◽  
Nieves Pedreira ◽  
Mónica Miguelez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Evolutionary Computation ◽  
Real World ◽  
Development Process ◽  
Multilevel System ◽  
Processing Elements ◽  
Artificial Neural ◽  
Real World Problems

This chapter presents the use of Artificial Neural Networks (ANN) and Evolutionary Computation (EC) techniques to solve real-world problems including those with a temporal component. The development of the ANN maintains some problems from the beginning of the ANN field that can be palliated applying EC to the development of ANN. In this chapter, we propose a multilevel system, based on each level in EC, to adjust the architecture and to train ANNs. Finally, the proposed system offers the possibility of adding new characteristics to the processing elements (PE) of the ANN without modifying the development process. This characteristic makes possible a faster convergence between natural and artificial neural networks.

Hybrid System with Artificial Neural Networks and Evolutionary Computation in Civil Engineering

2006 ◽  
pp. 166-187 ◽  
Author(s):  
Juan R. Rabunal ◽  
Juan Puertas
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Evolutionary Computation ◽  
Real Time ◽  
Hybrid System ◽  
Civil Engineering ◽  
Alarm System ◽  
Artificial Neural

This chapter proposes an application of two techniques of artificial intelligence in a civil engineering area: the artificial neural networks (ANN) and the evolutionary computation (EC). In this chapter, it is shown how these two techniques can work together in order to solve a problem in hydrology. This problem consists on modeling the effect of rain on the runoff flow in a typical urban basin. The ultimate goal is to design a real-time alarm system for floods or subsidence warning in various types of urban basins. A case study is included as an example.

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