Hoffmann, G. W. (1986), "A Neural Network Model Based on the Analogy with the Immune System", J. theor. Biol., 122, pp. 33-67.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... aspects, for example, its ability to detect common patterns in a noisy environment [9] its ability to discover and maintain coverage of diverse pattern classes, and its ability to learn effectively, even when not all antibodies are expressed and not all antigens are presented [14] Hoffman [15] has compared the immune system and the nervous system. He has shown many similarities in the two systems, at the level of system behavior (though differ at the respective building block level) He postulated a symmetrical neural network model that can produce desired stimulus response behavior ....

Geoffrey W. Hoffmann. A neural network model based on the analogy with the immune system. Journal of Theoretical Biology, 122:33--67, 1986.

....processing, speech recognition, intelligent control, robotics, etc. From an information processing perspective, the immune system is a distributed system. It provides an excellent model of adaptive processes operating at the local level and of useful behavior emerging at the global level. Hoffman [13] has compared the immune system and the nervous system. He has shown many similarities between the two systems at the level of system behavior, though they differ at the respective building block level. He postulated a symmetrical neural network model that can produce desired stimulus response ....

Geoffrey W. Hoffmann. A neural network model based on the analogy with the immune system. Journal of Theoretical Biology, 122:33--67, 1986.

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Hoffmann, G. W. (1986), "A Neural Network Model Based on the Analogy with the Immune System", J. theor. Biol., 122, pp. 33-67.

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