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Analyzing the spring mass movement system is investigated and the neural network is used to implement for such a movement system.

以质量-弹簧跳跃模型为分析对象,研究了前向神经网络理论在跳跃运动分析中的应用。

Based on polynomial curve-fitting theory, a Laguerre orthogonal basis feed-forward neural network is constructed.

根据多项式理论,构造了一种以Laguerre正交多项式作为隐层神经元激励函数的前向神经网络模型。

Orthogonal least square is a widely used approach to training networks, so it also can be applied to wavelet networks.

正交最小二乘法是一种常用的前向神经网络训练方法,因此可以用正交最小二乘法训练小波网络。

First, the paper introduces the sturcture of feedforward neural network and classical back-propagation learning algorithm, then systematic analysis and reserch are made to the various learning methods of RBFNN(Radical Basis Function Neural Network). The idea and algorithm frame of evolution strategy are presented and introduced to the learning algorithm of BP Neural network to improve the performance of it.

本文首先阐述了前向神经网络的结构以及经典的反向传播学习算法,尤其是对RBF网络的各种学习算法进行了比较系统的分析研究,然后又介绍了进化计算的思想和算法框架,并把这种算法思想引入到BP网络学习思想中去对BP算法进行了改进。

This paper addresses the classification capability of network containing quadratic sigmoidal neurons.

针对含二次Sigmoidal神经元的前向神经网络,研究了它的模式分类能力。

The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed. Precision of the networks with different numbers of hidden layer nodes is analyzed.

介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计,分析了含有不同隐节点数的前馈网络的精度。

The computational power of the quantum neuron is explored. Numerical and graphical results show that this single quantum neuron can perform XOR function unrealizable with a classical neuron and has the same computational power as the two-layer NN, it can be used to realize nonlinear mapping.

应用量子计算方法分析了该量子神经元模型的量子逻辑运算功能,分析和实验证明单个量子神经元能实现经典神经元无法实现的XOR函数,并具有与两层前向神经网络相当的非线性映射能力。

In ACC, NGF,TrkA and p75 mainly existed in cells of duct-like, cribriform and mass-like structures.According to the optical density scanning of immunohistochemistric stain of NGF and TrkA in salivary gland and tumor tissues and quantification analysis, it was shown that the average optical density of NGF and TrkA increased in order of salivary gland tissues around neoplasm, mucoepidermiod carcinoma, and adenoid cystic carcinoma.

2叫 吉林大学硕士学位论文通过对NGF和TrkA在涎腺组织和涎腺肿瘤中的免疫组织化学染色结果进行光密度扫描,对所测平均光密度定量分析,结果显示:NGF和TrkA平均光密度值按照肿瘤周围涎腺组织、豁液表皮样癌和腺样囊性癌依次升高,统计学分析在各组间均有极显著差异(P.01),表明NGF和TrkA通过自分泌机制调控涎腺腺样囊性癌和豁液表皮样癌的生长与增殖,通过旁分泌机制参与涎腺腺样囊性癌向神经周围的浸润。

In this paper,a new NN former has been used to combine the blur reasoning system with the eradiate function neural network.The network model can be used to export the distributing area of deposits and average high of collapsed building with forming ...

本文作者结合模糊推理系统和辐射基函数网络,提出了建立多层前向神经网络模型,来输出倒塌房屋堆积物分布范围及平均高度的模糊预测系统。

BACKGROUND: At present, hemopoietic stem cells have been proved to differentiate into nerves in rodents animals. As for the human, this topic is in debate.

背景:近年来,在啮齿类动物中发现,造血干细胞具有向神经分化的塑型性,而在人类,这种造血的塑型性仍然具有争议。

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