【摘要】 将泛函神经元结构变形,建立Sigma-Pi泛函网络模型,给出Sigma-Pi泛函网络学习算法。采用数值分析的方法,将Sigma-Pi泛函网络应用于异或问题,结果表明,该网络对于某些问题具有很强的分类能力。该方法的优点在于利用一元函数作为基函数来实现高维函数的逼近,在函数逼近技术上,有着重要的应用价值。更多还原

【Abstract】 This paper converts a structure of a functional neuron,presents a Sigma-Pi functional network(SPFN) structure,and proposes the Sigma-Pi functional networks learning algorithm.Using numerical analysis method,the Sigma-Pi functional network is applied to XOR problem.The results demonstrate that the functional network has powerful classification capability.The method has the advantages of using a variable function for multi-dimensional function approximation and important practical significance.更多还原