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Categoria WoS
Titulo: Artificial Neural Network Development by means of Genetic Programming with Graph Codification
Tipo: revista internacional
Fecha: 10,2006
Revista: Transactions on Engineering, Computing and Technology
Volumen: 15
Paginas: 209-214
ISSN: 1305-5313
Editorial: World Enformatika Society
Barcelona (España)


The development of Artificial Neural Networks(ANNs)is usually a slow process in wich the human expert has to test several architectures until he finds the one that achieves best results to solve a certain problem. This work presents a new technique that uses Genetic Programming (GP) for automatically generating ANNs. To do this, the GP algorithm had to be changed in order to work with graph structures, so ANNs can be developed. This technique also allows the obtaining of simplified networks that solve the problem with a small group of neurons. In order to measure the performance of the system and to compare the results with other ANN development methods by means of Evolutionary Computation (EC) techniques, several test were performed with problems based on some of the most used test databases. The results of those comparisons show that the system achieves good results comparable with the already existing techniques and, in most of the cases, they worked better than those techniques.

    .: SABIA :.  Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial