Its structure and learning algorithm are given; the methods of its parameter selection are explained; the characteristic给出了网络的结构和学习算法，说明了系统参数选取方法，分析了除氧器水位控制的特点。
The simulation results prove that the control system has perfect decouple and self-learning control performance for mult仿真结果表明，该控制系统对多变量强耦合的除氧器水位控制对象具有良好的解耦性能和自学习控制特性。