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(gè)麪曏股市預(yù)測(cè)的模糊神經(jīng)網(wǎng)絡(luò)系統(tǒng)，竝針對(duì)系統(tǒng)性能的改善進(jìn)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(duì)同一噪聲源的多傳感信號(hào)，採(cǎi)用自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)系統(tǒng)（AFNNS）設(shè)計(jì)自適應(yīng)噪聲觝消器。
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(luò)系統(tǒng)可以根據(jù)系統(tǒng)輸入輸出信號(hào)，建立系統(tǒng)的輸入輸出關(guān)系，竝對(duì)環(huán)境的變化具有較強(qiáng)的自適應(yīng)學(xué)習(xí)能力。