神经网络是一个不依赖于模型的自适应函数估计器，不需要模型就可以实现任意的函数关系。
Neural Network is an estimator of adaptive resonance function, which is not dependent on models, and could fulfill arbitrarily functional relation without them.
该控制器对系统各通道进行分散式控制，利用李亚普诺夫函数的确定过程求解各自适应参数表达式，以保证了系统的稳定性。
The decentralized adaptive controller is designed and the adaptive parameters are decided by the Lyapunov function in order to assure the system is stable.
结果表明，融入时效函数的自适应递推优化组合预测模型比采用其它预测模型预测的结果更好。
The results show the self-adapt optimized combination forecast model covering the aging function is better than the other forecast models for gas demand forecast.
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