关键词: 模糊联想记忆, 训练模式, 学习算法, 摄动, 鲁棒性

Abstract: In practice, there always is small variance (perturbation) between patterns obtained and objective patterns for fuzzy neural networks, sequentially, there may be big variance (oscillation) between the output of the neural networks and the objective true output for some input. Hereby, the authors propose robustness concept of Fuzzy Associative Memory (FAM for short) with perturbation of sample patterns in the paper. further, concretely analyze such robustness and the controlling method of FAM using a new weight learning algorithm advanced in the paper. In the end , the authors proved by experiment that the robustness of FAM is not good when used the new weight learning algorithm advanced in the paper.

Key words: Fuzzy associative memory, Learning algorithm, Sample pattern, Perturbation, Robustness