fuzzy neural system

基本解釋

This paper puts forward a fuzzy neural network system aimed at stock price prediction, and an ameliorative method on its function is studied.
本文提出了一個面向股市預測的模糊神經(jīng)網(wǎng)絡系統(tǒng)，并針對系統(tǒng)性能的改善進行了深入研究。
Adaptive fuzzy neural network system(AFNNS) is employed for adaptive noise cancellation using multi-sensory signal recordings of the same noise source.
針對同一噪聲源的多傳感信號，采用自適應模糊神經(jīng)網(wǎng)絡系統(tǒng)（AFNNS）設計自適應噪聲抵消器。
Fuzzy Neural Network System(FNNS) can construct input?output relationship by means of input and output signal and FNNS has special characteristics of adaptive learn while environment is changing.
模糊神經(jīng)網(wǎng)絡系統(tǒng)可以根據(jù)系統(tǒng)輸入輸出信號，建立系統(tǒng)的輸入輸出關(guān)系，并對環(huán)境的變化具有較強的自適應學習能力。