提出了一种RBF网非线性动态系统在线建模的资源优化网络(RON)方法．RON 在资源分配网络的学习过程中引入了滑动窗口和网络结构在线优化的思想，使网络能根据最 近一段时间内的误差信息自动实现网络结构优化，从而使RBF网既能在线适应对象的变化， 又能使网络规模维持在较小水平，并保证了网络的泛化能力．使用滑动窗口技术使RON对学 习参数变化具有较好的鲁棒性，并更易收敛．三个标准例子演示了算法的有效性．-presents a RBF network nonlinear dynamic

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model A

Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on linear and nonlinear programming. TSP can be described as follows: Given a number of cities to visit and th