A resource limited immune approach (RLIA) was developed to evolve architecture and initial connection weights of multilayer neural networks. Then, with Back-Propagation (BP) algorithm, the appropriate connection weights can be found. The RLIA-BP classifier, which is derived from hybrid algorithm mentioned above, is demonstrated on SPOT multi-spectral image data, vowel data and Iris data effecti...

Negative Selection Algorithm (NSA) is an important artificial immune data classifiers generation method in Artificial Immune System (AIS) research. However, with the increase of the data dimensions, the current data classification algorithms which based on NSA exist the problems of excessive number of generated classifiers and too low classifier generation efficiency. In this paper, the Dual Ne...

the article suggests an algorithm for regular classifier ensemble methodology. the proposed methodology is based on possibilistic aggregation to classify samples. the argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. the optimization aims at learning backgrounds as solid clusters in subspaces of the high-dim...