提出的粒子群优化算法 Particle Swarm Optimization ; PSO
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
运用粗集理论对逻辑函数进行知识表达的方法，提出了基于粗糙集的组合逻辑优化方法，并给出了相应的算法。
Rough set-based method of combinatory logic optimization was presented by using knowledge expression of logic function with rough set theory, and its corresponding algorithm was given, also.
文章基于M IMO ARQ无线通信系统，针对发送天线选择和预编码技术的联合使用，依照系统容量，提出了一种次优的联合优化算法。
Based on the MIMO ARQ wireless communication system, to combine the transmitting antenna selection and pre-coding, according to system capacity, this paper proposed a sub-optimal algorithm.
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