讨论了数据融合与高阶神经网络的串行结合。
Discusses the serial combination of high order neural network and data fusion.
针对一类非线性组合大系统，提出一种用高阶神经网络逼近互联大系统的新型设计方法。
A new design method using high order neural networks to approach interconnected system aiming at a class of nonlinear composite system is presented.
基于此观点，我们设计了一个稀疏连接的高阶网络和另一个具有相同数目连接权的一阶神经网络，并把它们应用于太阳黑子序列进行逼近和预测。
Based on this argument, we design a partially connected higher-order network to compare the first-order one with that of almost the same number of connections.
应用推荐