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A large percentage of the cost of rework can be avoided by finding more faults earlier in a software testing process. Therefore, determination of which software testing phases to focus improvements work on, has considerable industrial interest. This paper evaluates the use of five different techniques, namely particle swarm optimization based artificial neural networks (PSO-ANN), artificial immune...
Gene expression programming (GEP) is a kind of heuristic method based on evolutionary computation theory. Basic GEP method has been proved to be powerful in symbolic regression and other data mining as well as machine learning tasks. However, GEP's potential for neural network learning has not been well studied. In this paper, we prove that GEP neural network (GEPNN) is not able to solve high order...
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