Physical model of immune inspired computing
Information Sciences—Informatics and Computer Science: An International Journal
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
Architecture for an Artificial Immune System
Evolutionary Computation
A new classifier based on resource limited artificial immune systems
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Learning polynomial feedforward neural networks by genetic programming and backpropagation
IEEE Transactions on Neural Networks
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In order to conquer the disadvantage of the traditional Immune Neural Network (INN), the paper presents INN model which is based on extenics. With matter-element analysis, the model can solve the problem that antibody identifies and memorizes antigen in immune system. The model also can make correct judgments about activation or control of nerve cell. Consequently, the structure design of INN can be optimized. And then, the new model is applied in experiment which is used for solving the problem of nonlinearity function. Based on experiment results, the model is compared with the traditional neural network. Simulation results indicate that the new model has better convergence and stability.