把粗糙集和神经网络联合在一起的经典的论文资料，结合了粗糙集优秀的简约功能和神经网络强大的自适应功能-The rough sets and neural networks to bring together the classic papers of information, combined with rough set excellent functionality and simple robust adaptive function of neural networks

An ad-hoc network with a sender, a destination and a third station act- ing as a relay is analysed. The channels are modelled containing thermal noise, Rayleigh fading and path loss. Di® erent combining methods and di- versity protocols are