An approach of learning fuzzy rules based on learning automata arrays 基于学习自动机阵列的模糊规则学习方法
Solutions to the network capacity assignment problem based on continuous learning automata 基于连续学习自动机解决网络负载量的分配
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 所提出的学习自动机模型和竞价算法不需知道其余市场竞争者的竞价行为等不确定信息,且不需要进行复杂的优化计算,因而非常容易实现,可适用于实际大规模电力市场中独立市场成员的竞价问题。