人工免疫网络与ANFIS技术的混合算法及其应用

Omar S. Kasim, Israa Alkhayyat
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引用次数: 0

摘要

人工免疫网络,是利用自适应神经模糊会议系统(ANFIS)利用免疫记忆开发的,免疫网络作为ANFIS技术的输入,增加了基于数据模式模拟模式的模型训练的机会,因为免疫网络产生的免疫记忆会复制具有与原始数据相似特征的数据。与传统的人工免疫系统相比,该算法具有更好、更高效的模式检测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Hybrid Algorithm Between the Artificial Immunological Network and the ANFIS Technique with Application
the Artificial Immune Network, was developed using the Adaptive Neuro Fuzzy Inference System (ANFIS) by using the Immune Memory, The immunological network as an input to ANFIS technology to increase the chance of training a model based on the pattern of simulation of data patterns, as the immune memory resulting from the immunological network makes copies of data with characteristics similar to the original data. The proposed algorithm proved to have better and more efficient results rack on the patterns compared with the usual artificial immune system.
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