1) multilayer quadratic perceptron
二阶神经元网络
1.
In the model,multilayer quadratic perceptron that combines advantages of multi-layer perceptrons and high-order neural network was used.
利用多层二阶神经元网络快速收敛及逼近连续函数的良好性质,并结合判别分析思想,构建了一种新的分层混合专家结构模型。
2) two-order backpropagation neural network
二阶BP神经网络
1.
An intelligent fault diagnosis method for rotating machinery is presented,which integrates two-order backpropagation neural network and fuzzy neural network.
针对旋转机械故障的智能诊断问题,提出了结合二阶BP神经网络和模糊网络的集成诊断方法。
3) second order Hopfield neural network
二阶Hopfied神经网络
4) second order neural networks
二阶神经网络
1.
The second order neural networks have faster convergence rate than the ordinary neural networks.
二阶神经网络较一般神经网络具有更快的收敛速度 ,对于二阶连续型Hopfield神经网络 ,用 L yapunov方法讨论平衡点的全局指数稳定性 ,给出了平衡点全局指数稳定的几个判别准则 。
5) second-order neural network
二阶神经网络
1.
Adaptive control based on second-order neural networks;
基于二阶神经网络的自适应控制
2.
The approximation capability of the second-order neural network is investigated in this paper and the following results have been obtained: 1)It has been prove4 that the second-order neural network can approximate any continuous function with any degree of accuracyl 2)the BP algorithm for se cond-order neural network and the simulated results are given in this paper.
本文讨论了二阶神经网络的映射能力。
补充资料：神经元形态中枢神经系统内轴突髓鞘的形成示意图
李瑞端绘
[图]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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