【摘要】 泛函网络是类似于人工神经网络的新型网络模型,是泛函方程的网络表达形式。本文针对复杂泛函网络构造和学习中存在的问题,提出了多输入泛函网络模型MIOFN。通过对该模型的分析,提出了简化和学习的方法,并进行了仿真实验。结果表明,本文提出的MIOFN运行是可靠的,在工程应用中是有效可行的。更多还原

【Abstract】 Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation. In this paper, a multi-input and single output FN were presented for solving problems in structuring and learning of complex FN. Through the model was analyzed, a new simplifying and learning method was put forward by it. The simulating experiment was done by it. The result indicates that running of the model is reliable. It is applied to engineering availably and feasibly.更多还原