Search - ANN

Search - ANN - List

【Other】 resize_image DL : 0: this function is used for resizing the cropped images got the process of character extraction for the first step of build a ANN. This is useful because it can resize a lot of images in one folder.-this function is used for resizing the cropped images got the process of character extraction for the first step of build a ANN. This is useful because it can resize a lot of images in one folder.
Update : 2024-05-19 Size : 204800 Publisher : Yao
【Other】 Feature-Column-from-the-AMS DL : 0: This procedure according to the trained network file ANN.mat predict new data file to obtain the mean square error, and draw the comparison chart data and predict the original data. This procedure applied to a lot of Matlab programming to the expression commonly used, as well as the expression of some of the basic concepts of neural network programming, such as the normalized expression. Hoping to be helpful to others
Update : 2024-05-19 Size : 204800 Publisher : 刘静
【Other】 perceptron2 DL : 0: perceptron algorthm for A-perceptron algorthm for ANN
Update : 2024-05-19 Size : 1024 Publisher : pham
【Software Engineering】 ANN-Output-Calculation-by-BP-algm DL : 0: Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the training of artificial neural network, however backpropagation algorithm is the traditional method for training purpose. this document contain the mathematical formation of artificial neural network with backpropagation training.
Update : 2024-05-19 Size : 664576 Publisher : Karthick
【Energy industry】 wind-diesel-hybrid-power-systems-using-ANN DL : 0: a good paper about hybrid Diesel Wind systems elevier
Update : 2024-05-19 Size : 162816 Publisher : hami
【matlab】 final-report DL : 0: site matching of wind turbine using A-site matching of wind turbine using ANN....
Update : 2024-05-19 Size : 1113088 Publisher : pramod
【matlab】 ANN DL : 0: BP人工神经网络的程旭，运行正常，按照需要修改参数即可-BP artificial neural network program, is operating normally, only need to modify the parameters
Update : 2024-05-19 Size : 1024 Publisher : 罗伊
【Other】 ann DL : 0: 一个简易的人工神经网络的小程序。经过训练后，输入一个数字，可以判断该数字是奇数还是偶数。-A simple small program of artificial neural network. After training, enter a number, can determine the number is odd or even.
Update : 2024-05-19 Size : 1024 Publisher : wmz
【AI-NN-PR】 ANN DL : 0: Solve a Pattern Recognition Problem with a Neural Network.
Update : 2024-05-19 Size : 1024 Publisher : ozgur
【Energy industry】 pso-ANN DL : 1: 用pso算法优化神经网络程序（matlab）-Using PSO to optimize the neural network algorithm (matlab)
Update : 2024-05-19 Size : 3072 Publisher : 徐路
【AI-NN-PR】 mohitfinal2 DL : 0: dtc of pmsm using a-dtc of pmsm using ann
Update : 2024-05-19 Size : 35840 Publisher : mohit
【matlab】 FCM_ANN DL : 0: Image segmentation and rcognition using FCM and A-Image segmentation and rcognition using FCM and ANN
Update : 2024-05-19 Size : 238592 Publisher : olu
【SCM】 stemwin-tutorials-Chapter-four DL : 0: 安富莱电子推出emwin教程，共60期。论坛：http://bbs.armfly.com/本期主要是带领大家学习uCGUIBulder4.0和GUIBulder5.22的使用，很好的利用这两个软件，能使得STemWin界面设计事半功倍。-Ann Fuller Electronics launched emwin tutorials, a total of 60. Forum: http: //bbs.armfly.com/ main issue is to lead them to learn uCGUIBulder4.0 and GUIBulder5.22 use, good use of these two software interface design can make STemWin less.
Update : 2024-05-19 Size : 1404928 Publisher : 安富莱电子
【matlab】 ga_annlongchuan DL : 0: 遗传算法优化下的神经网络模型，可以用于径流预测-ga ann
Update : 2024-05-19 Size : 2048 Publisher : zhangzhenghao
【AI-NN-PR】 waveletpsoann_longchuan DL : 0: 可以用于预测的小波分解下的粒子群算法的神经网络预测-wavelet pso ann for predict
Update : 2024-05-19 Size : 2048 Publisher : zhangzhenghao
【matlab】 piotr_toolbox DL : 0: matlab的外用工具扩展包，里面包含HOG，ANN等多种实现-Matlab external tools expansion pack, containing HOG, ANN and so on the many kinds of implementation
Update : 2024-05-19 Size : 9662464 Publisher : 王淑丹
【Industry research】 lung DL : 0: Lung Cancer Detection and Classification Using ANN & Multinomial Bayesian Classifier
Update : 2024-05-19 Size : 1274880 Publisher : shahu
【matlab】 ANN-BP DL : 1: 使用BP网络的人工神经网络算法，代码为fortran语言，可以用于水文预报、水库调度。-Using BP networks of artificial neural network algorithm, the code is FORTRAN language, can be used in hydrological forecasting reservoir scheduling
Update : 2024-05-19 Size : 489472 Publisher : 张靖文
【Graph Recognize】 alphabet DL : 0: 设计一个BP神经网络，训练它来识别字母表中的26个字母。不仅能对理想的输入向量进行很好的分类，也能够准确识别含有误差的输入向量。-This Program is mainly to recongnize alphabets by hand using BP ANN in matlab.It s very useful,and you can run it directly to see the results
Update : 2024-05-19 Size : 1024 Publisher : 赵晨
【matlab】 SOM_NN_CODE DL : 0: An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.-An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.
Update : 2024-05-19 Size : 125952 Publisher : Vishal

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