A Novel Neural Network Based on Immunity

Based on analyzing natural immune phenomena and utilizing performances of the existing artificial neural networks, a novel network model (artificial neural network based on immunity-ANNI) is proposed which integrates the immune mechanism and the function of neural information processing. The learning algorithm of ANNI contains the method of selecting an excitation function and an adaptive algorithm of network learning. ANNI makes it easy for a user to use the characteristic information of a pending problem and to simplify the original network structure, and therefore is able to make the efficiency and the accuracy improved obviously. Besides theoretic analysis, simulation on the twin-spiral problem also shows that ANNI is not only effective but also feasible. KeywordsArtificial neural networks, excitation function, immunity, the twin-spiral problem, pattern recognition.