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دانلود رایکان مقاله انگلیسی ISI با موضوع بررسی شبکه ‌های عصبی فازی

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بررسی شبکه ‌های عصبی فازی

عنوان انگلیسی مقاله:

Fuzzy neural networks: A survey

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2. Literature

Probably the first papers to introduce fuzzy sets into neural nets were [45,46] where the authors generalized the McCulloch Pitts model by using intermediate values between zero and one. A survey paper [53] in 1990 discussed the fusion of neural nets and fuzzy logic, however very little research on fuzzy neural nets was done by then with the exception of [44] and Yamakawa's fuzzy neuron. In [44] the authors proposed adding fuzzy membership functions to the perceptron. Yamakawa's initial fuzzy neuron is discussed in [56-58] and his new fuzzy neuron in [59]. His initial fuzzy neuron was of type FNNI. The new fuzzy neuron has, instead of a single weight on each incoming arc to a neuron, a set of fixed fuzzy sets and real number weights. A learning algorithm is applied to the weights. Learning algorithms are discussed in more detail in Section 3. See also [50] for a discussion about improving Yamakawa's initial fuzzy neuron.