本文關(guān)鍵詞：混沌神經(jīng)網(wǎng)絡(luò)的動(dòng)態(tài)閾值控制，由筆耕文化傳播整理發(fā)布。

摘要：

提出了混沌神經(jīng)網(wǎng)絡(luò)的動(dòng)態(tài)閾值控制方法，將大腦腦電波的主要成分，正弦信號(hào)作為控制變量實(shí)現(xiàn)對(duì)混沌神經(jīng)網(wǎng)絡(luò)內(nèi)部狀態(tài)的閾值動(dòng)態(tài)改變，從而達(dá)到了控制混沌神經(jīng)網(wǎng)絡(luò)混沌的目的。利用該方法可以將混沌神經(jīng)網(wǎng)絡(luò)的輸出穩(wěn)定在一個(gè)與網(wǎng)絡(luò)初始模式相關(guān)的存儲(chǔ)模式和其反相模式上，，從而使混沌神經(jīng)網(wǎng)絡(luò)在模式識(shí)別、信息搜索等信息處理功能得以實(shí)現(xiàn)。該控制方法不需要事先指定閾值，是一種自適應(yīng)方法，符合實(shí)際人腦的思維運(yùn)動(dòng)。

Abstract： 

A dynamic threshold value control method is proposed to get control over a chaotic neural network (CNN). The sinusoidal signal, which constitutes the key component of the brain wave, is taken as the control signal to change the threshold value of the internal states of the CNN. The chaos control of the CNN is therefore reached with its outputs of the controlled CNN reciprocating between a stored pattern and its reverse pattern related with the initial pattern. And then the CNN can be applied in information processing, such as pattern recognitionetc. The chaos control method works in a self-adaption way since it does not need to set the threshold value beforehand, which is in accordance with brains’ thinking activities.

  本文關(guān)鍵詞：混沌神經(jīng)網(wǎng)絡(luò)的動(dòng)態(tài)閾值控制，由筆耕文化傳播整理發(fā)布。