an approach of learning fuzzy rules based on learning automata arrays 基于學(xué)習(xí)自動機(jī)陣列的模糊規(guī)則學(xué)習(xí)方法
solutions to the network capacity assignment problem based on continuous learning automata 基于連續(xù)學(xué)習(xí)自動機(jī)解決網(wǎng)絡(luò)負(fù)載量的分配
the proposed learning automata model and bidding algorithm need not to know the uncertain information in the marketplace, such as the competitors " biding behaviors, etc ., and need not to conduct complicated optimization tasks, therefore it is very easy to implement, and applicable to the dotermination of individual market participant's bidding strategy in large scale electricity markets 所提出的學(xué)習(xí)自動機(jī)模型和競價算法不需知道其余市場競爭者的競價行為等不確定信息,且不需要進(jìn)行復(fù)雜的優(yōu)化計算,因而非常容易實現(xiàn),可適用于實際大規(guī)模電力市場中獨立市場成員的競價問題。