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This paper proposes an evolutionary design methodology of multilayer feedforward neural networks based on constructive approach. We elaborate an adjustable processing element as primitive neuron model. The neural layer can be constructed by assembling several neurons. The multilayer neural network can be finally constructed through cascading several neural layers. The constructive approach facilitates substantially to extract design specifications from a multilayer neural network. Based on thedoi:10.1177/1077546312456726 fatcat:uuhvn5r34beijcoz4pmouef3zu