神经网络-模糊Inter^3融合控制

Neural-Fuzzy Inter^3 Fusion Control

本文从应用层、表达层、子网络层三层观点提出了神经-模糊Inter3融合控制模型，这种控制模型是把融合结构、融合算法及控制合为一体进行设计的，然后提出了融合控制的模糊基函数方法和改进的正交最小方差学习算法，最后讨论了基于神经-模糊Inter3融合控制模型的多目标跟踪问题。

The Inter3 fusion control model, which considers fusion structure, fusion algorithm and con-trol in system, is presented in three layers such as application layer, representation layer and subnet layer.Then the fusion control is realized with the method of fuzzy basis function who's orthogonal least square learning algorithm is modified. At last, multitarget tracking based on the neural-fuzzy Inter3 fusion control model is discussed.