adaptive learning mechanism

基本解釋

Therefore, a highly adaptive learning mechanism which can continuously learn from the dynamic data is needed.
因此我們需要一種有高度自適應(yīng)能力和從動(dòng)態(tài)數(shù)據(jù)中持續(xù)學(xué)習(xí)能力的學(xué)習(xí)機(jī)制。
This method adopts the idea of increment learning, and presents new algorithm to the adaptive learning mechanism in the task of topic tracking.
該方法採用增量學(xué)習(xí)的思想，對(duì)話題追蹤任務(wù)中的自適應(yīng)學(xué)習(xí)機(jī)制提出了新的算法。
Then the mechanism of the chaotic learning algorithm is described, and the adaptive learning algorithm of WNN for traffic flow time series is designed.
闡述了混沌學(xué)習(xí)算法的機(jī)理，設(shè)計(jì)了交通流量WNN混沌時(shí)間序列自適應(yīng)學(xué)習(xí)算法。