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This paper describes a new technique for training feedforward neural networks. We employ the proposed algorithm for robust neural network training purpose. Conventional neural network training algorithms based on the gradient descent often encounter local minima problems. Recently, some evolutionary algorithms are getting a lot more attention about global search ability but are less-accurate for complicated...
Research into setting the values of the acceleration coefficients c1 and c2 in Particle Swarm Optimization (PSO) is one of the most significant and promising areas in evolutionary computation. Parameters c1 and c2 in PSO indicate the "self-cognitive" and "social-influence" components which are important for the ability to explore and converge respectively. Instead of using fixed...
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