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.
根据这个理论，可知稀疏或部分连接的高阶神经网络象全连接的网络一样能够逼近任意连续函数。
According to this theory, we know that partially connected higher-order neural networks can approximate any continuous functions as fully connected neural networks can do.
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.
利用高阶统计量模糊神经网络方法对液压系统故障进行诊断，解决低信噪比故障特征信号下的故障诊断问题。
A method to diagnose the fault of the hydraulic system based on the high order cumulant fuzzy neural network method is presented.
本文同时介绍了一些神经网络和高阶累计量等算法的概念和方法。
At same time the paper introduce some theoretic such as higher-order statistics, artificial neural network.
将融合后的最终结果输入到高阶BP神经网络中，通过目标向量样本的训练，输出相应的目标类型。
Then the final results into the high order BP network is input. Through the training of target vector table stylebook, corresponding type of goal can be output.
结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。
Results the properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality.
结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。
Results the properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality.
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