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本算法在训练步数、训练时间及其误差精度等方面都优于常规的模糊神经网络，其学习收敛速度快、误差曲线也更稳定。-the algorithm steps in training, training time and error accuracy is superior to the conventional fuzzy neural network, learning fast convergence, the error curve is more stable.
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本人做的神经网络的实验，步骤详细，分析具体，适合做入门学习用-I do neural network experiments, the steps detailed analysis of specific, suitable for entry to study
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神经网络的程序,有详细的步骤,对初学者有很大帮助-Neural network program, there are detailed steps are very helpful for beginners
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neural-network模型中，在產生一個輸出值前units轉換它們的net-input數值為一個activation value並視為一個中介的步驟。很多架構省略這個中介的步驟並且直接到輸出值的產生。在這裡，先忽略這個activation value的複雜度，我們首要的工作是output value輸出值的產生。我們以一個微分方程式的形式來表示一個unit的output value。就好像是生物學中所提的同等事物一樣，units的輸出值是時間的動態函數。-neural-network mo
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用Visual Basic--实现BP神经网络语言,只要介绍一些必要算法以及步骤-Using Visual Basic- to achieve BP neural network language, as long as necessary to introduce some algorithms and steps!!
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RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) impleme
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RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值-RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clus
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This a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32.
Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons
respectively and 1 layer output with 1 neuron.This pr
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MATLAB在智能网络管理信息处理中的应用.智能网络管理中利用神经网络进行故障诊断预测时，经常遇到复杂信息处理问题，如大运算量的矩阵计算，利用Matlab的强大计算功能来解决该问题。并阐述了将该功能与应用系统无缝集成的三种方式，最后，用一个在智能网络管理信息处理中的具体实例详细说明实现的步骤。
-MATLAB applications in information processing in the intelligent network management.Intelligent net
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類神經網路，有演算圖、演算方法，一個步驟一個步驟執行-Neural network, calculus map, calculation methods, a step by steps
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用模糊故障诊断方法诊断单级减速箱齿轮的故障。要求：写出诊断步骤以及每一步所做的工作。
设计诊断神经网络，并说明设计理由。-Fuzzy fault diagnosis method for the diagnosis of a single reduction gear box failure. Requirements: to write diagnostic steps, and each step of the work done. Diagnosis of neural network
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该代码是通过MATLAB实现的神经网络的数字识别。在压缩包中包含具体的操作步骤，相关代码，和图片。具体是通过鼠标选择的方法，对数字进行识别。-The code is a digital identification through MATLAB neural network. Contains specific steps in the compression package, code and pictures. Specifically by the mouse to select the
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TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs,
NET - Neural network.
Pd - Delayed input vectors.
Tl - Layer target vectors.
Ai - Initial input delay conditions.
Q - Batch size.
TS - Time steps.
VV - Either
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三层BP神经网络，VS下编译一下源码即可使用，初始化，训练，测试的步骤都分开写了。-BP neural network, VS compiled at the source can be used, initialization, training, testing of the steps are written separately.
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本课题研究的步骤如下：先提取人脸的特征向量；产生训练样本和测试样本；再用LVQ创建神经网络模型，该模型用训练样本进行训练调整权值；用测试样本对建立的人脸朝向识别模型进行验证，要求有较高的识别率。
本课题要求使用LVQ神经网络的算法进行Matlab仿真，对人脸朝向进行有效的判断和识别。
-This study is the following steps: first extract facial feature vector generate training and testing
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人工神经网路聚类 ，主要的算法步骤，能够对数值型直接计算-Artificial neural network clustering, the main steps of the algorithm, capable of direct numerical calculation
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These are the files for the tutorial: 15 Steps to Implement a Neural Net.
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1. run DigitRecognizer.m
2. mode to run
a. Test Mode
input pad will open with axes having a red dot.
left-click mouse and drag(dont unclick) mouse
to draw a numeric digit.
if you unclick mouse it won t draw anything.
if you w
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本文为一款基于BP神经网络的数据处理源代码，并配有详细步骤解释-This article is a based on BP neural network data processing source code, and with a detailed explanation of the steps
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Program to teach various steps in a neural network
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