【摘要】 提出一种权值耦合的前馈神经网络模型 ,并探讨利用它进行非线性方程组求解的可能性 ,给出了具体的算法 ,最后求解了四个数值例子 .算例表明 ,用神经网络算法求解非线性方程组时可获得与解析法、牛顿法相同的结果更多还原

【Abstract】 A Weights Coupling neural network is proposed, and the possibility of solving non linear equations with it is discussed. A specific algorithm is given. Finally,four numerical examples are provided which prove that the present method may yield the same outcome as that from the Newton method.更多还原