Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Automatic definition of modular neural networks
Adaptive Behavior
Adapting Operator Probabilities in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems
Cooperative modular neural network classifiers
Cooperative modular neural network classifiers
Modular neural networks with Hebbian learning rule
Neurocomputing
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Traditional trial-and-error approach to design neural networks is time consuming and does not guarantee yielding the best neural network feasible for a specific application. Therefore automatic approaches have gained more importance and popularity. In addition, traditional (non-modular) neural networks can not solve complex problems since these problems introduce wide range of overlap which, in turn, causes a wide range of deviations from efficient learning in different regions of the input space, whereas a modular neural network attempts to reduce the effect of these problems via a divide and conquer approach. In this paper we are going to introduce a different approach to autonomous design of modular neural networks. Here we use genetic programming for automatic modular neural networks design; their architectures, transfer functions and connection weights. Our approach offers important advantages over existing methods for automated neural network design. First it prefers smaller modules to bigger modules, second it allows neurons even in the same layer to use different transfer functions, and third it is not necessary to convert each individual into a neural network to obtain the fitness value during the evolution process. Several tests were performed with problems based on some of the most popular test databases. Results show that using genetic programming for automatic design of neural networks is an efficient method and is comparable with the already existing techniques.