Aimed at the pattern classification and the system-modelling problem with complex time-varying signals that have singular values, a kind of structural formula process neural networks is proposed in this paper.
针对带有奇异值复杂时变信号的模式分类和系统建模问题,提出了一种分式过程神经元网络·该模型是基于有理式函数具有的对复杂过程信号的逼近性质和过程神经元网络对时变信息的非线性变换机制构建的,其基本信息处理单元由两个过程神经元成对偶组成,逻辑上构成一个分式过程神经元,是人工神经网络在结构和信息处理机制上的一种扩展·分析了分式过程神经元网络的连续性和泛函数逼近能力,给出了基于函数正交基展开的学习算法·实验结果表明,分式过程神经元网络对于带有奇异值时变函数样本的学习性质和泛化性质要优于BP网络和一般过程神经元网络,网络隐层数和节点数可较大减少,且算法的学习性质与传统BP算法相同
The process neural networks(PNNs) are networks that adapt to the process of signal input,whose elementary unit is the process neuron(PN),an emerging neuron model.
过程神经元网络是一种适合于处理过程式信号输入的网络,其基本单元是过程神经元——一种新的神经元模型。
Its hidden layer and output layer are compose d of process neuron and the hidden layer function consists of wavelet function.
其隐层和输出层为过程神经元,隐层激活函数采用小波函数。
A continuous wavelet process neural networks(CWPNN)model is proposed based on wavelet analysis and process neural network theory in which the hidden layer is composed of process neurons and the hidden layer activation function is a wavelets function.
在小波分析和过程神经网络理论的基础上,提出了连续小波过程神经网络模型,其隐层为过程神经元,隐层激活函数采用小波函数。
First the discrete data of both sample function and procedure neuron weight function is converted to spline function, and then spline function product integral of both samp.
过程神经元网络的提出为大样本识别问题开辟了新途径,但其训练方法目前主要基于权函数正交基展开。
The FPNN has three layers, and its hidden layer and output layer are procedure neuron.
提出了一种带有反馈输入的过程式神经元网络模型,模型为三层结构,其隐层和输出层均为过程神经元。
The FPNN has three layers, and its hidden layer and output layer are composed of procedure neurons.
提出了一种带有反馈输入的过程式神经元网络模型 ,模型为三层结构 ,其隐层和输出层均为过程神经元 。
In order to imitate the learning and cognitive process of human brain better,the clustering rule and method of the pattern neuron network was proposed,and this work has further improved the new artificial neural network model.
为了更好地模拟人脑对事物的学习、认知过程,笔者提出了模式神经元网络的聚类规则和方法,从而完善了这种新型的神经网络模型。
Dynamic Prediction Model Based on Process Neural Networks and Its Application;
基于过程神经元网络的动态预测模型及其应用
Training method of process neural networks based on hybrid quantum genetic algorithm
基于混合量子遗传算法的过程神经元网络训练
Analysis of Integral Method in Learning Algorithm of Process Neural Networks
过程神经元网络学习算法中的积分方法分析
Comparison of Two Charateristics Extended Process Neural Networks
两种特征扩展过程神经元网络应用比较研究
A process neural control algorithm for autonomous underwater vehicle
一种水下机器人运动的过程神经元控制
Training of process neural networks based on improved quantum genetic algorithm
基于改进量子遗传算法的过程神经元网络训练
Soft Sensing of Ethylene Plant Based on the Discrete Process Neural
基于离散过程神经元的乙烯生产装置软测量
Research of Humanoid Recognition on Off-line Handwritten Chinese Characters Based on Procedure Neuron;
基于过程神经元的脱机手写体汉字仿人识别方法研究
Outgoing from a neuron.
从一个神经元的输出过程。
The Appliance of Fuzzy Neural Networks in Process Control;
模糊神经元网络在过程控制中的应用
The Effect of Number of Input Nodes of Neural Network on Autocorrelated Process Control;
输入层神经元数对自相关过程控制的影响
Transitions of Different Rhythm Patterns of Neuronal Firing Activity
神经元电活动的不同节律模式的几种转迁过程
The Dynamic Process of Cognition by Neural Network and SLA
神经元网络动态认知过程与第二语言习得
Application of Neural PID Control to Non-Linear and Time Varying System in Chemical Process
神经元PID在化工非线性时变过程控制中的应用
The Study of the Abnormality Neurofilament in Immune-mediated Motor Neuron Injury;
免疫介导的脊髓运动神经元损伤过程中神经丝异常的研究
Modulation of Vesicles Cycle by Calcium and Protein Kinase A in Soma of Dorsal Root Ganglion Neurons;
钙离子和蛋白激酶A对背根神经节神经元胞体囊泡转运过程的调控
Expression of Neural Development Gene in the Differentiation of Adult Neural Stem Cells into Neurons in Vitro and in Vivo;
体内外成体神经干细胞向神经元分化过程中神经发育相关基因的表达
The Study of Oxidative Stress in Immune-mediated Spinal Cord Motoneuron Destruction;
氧化应激在免疫介导的脊髓运动神经元损伤过程中意义的探讨
