Search - save neural network

Search - save neural network - List

[AI-NN-PR] ann_m DL : 0: 转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现，把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into the training data. m*. load the document, Central to the paper load*. m to save Inventory test data for the paper test data bp predictive value, The procedure can be expanded to import n, n output, it is easy
Date : 2025-12-28 Size : 1kb User : yangjun
[AI-NN-PR] bpdopr2 DL : 0: 神经网络对参数进行小波分解，输入的训练参数，绘制拟合曲线保存训练的拟和曲线，可以加坐标和曲线的说明-Neural network parameters wavelet decomposition, the input training parameters, fitting curve drawn and curves to be trained to save, you can add description of coordinates and curves
Date : 2025-12-28 Size : 1kb User :
[AI-NN-PR] A_very_sim977756232002-457852ngfppr2567 DL : 0: A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is extensible ie you can use my code in your programs to implement neural networks. Here a sample problem and network is given. Load the network with name "XOR.nn". It solves XOR problem. Please don t forget to give comments, credits and most important your VOTE!. And note if Neural Networks and back propagation is a mystery for you I can write a tutorial on nn and back propagation. Just tell me, if you want it, via feedback. And also, if you create another application using my neural networks please inform me. MadeBy: Paras Chopra CEO, NaramCheez paraschopra@lycos.com - A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layers as you can. The code here is extensible ie you can use my code in your programs to implement neural networks. Here a sample problem and network is given. Load the network with name "XOR.nn". It solves XOR problem. Please don t forget to give comments, credits and most important your VOTE!. And note if Neural Networks and back propagation is a mystery for you I can write a tutorial on nn and back propagation. Just tell me, if you want it, via feedback. And also, if you create another application using my neural networks please inform me. MadeBy: Paras Chopra CEO, NaramCheez paraschopra@lycos.com
Date : 2025-12-28 Size : 6kb User : ani
[AI-NN-PR] Bp-recognition-program DL : 0: 一个BP神经网络的matlab程序把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-A BP neural network matlab program
Date : 2025-12-28 Size : 1kb User : zhang
[AI-NN-PR] bianshi DL : 0: 系统辨识，使用神经网络完成非线性对象的辨识。同时保存权值阈值信息-Systems Identification，use a neural network to implay a nonlinear object，and at the same time to save the weights information
Date : 2025-12-28 Size : 1kb User : 谢慧娟
[AI-NN-PR] BP_liner_VCsrc DL : 0: 人工神经网络BP算法,C++编写，可以： 1、动态改变学习速率 2、加入动量项 3、可暂停运算 4、可将网络以文件的形式保存、恢复-Artificial neural network BP algorithm, C++ to write, you can: a dynamically changing learning rate to 2 by adding momentum item 3, may suspend the operator 4 network to save the file in the form of recovery
Date : 2025-12-28 Size : 5kb User : hg
[AI-NN-PR] BP DL : 0: BP神经网络故障检测，适合初学者看。包括归一化、反归一化处理，文件保存等功能。-BP neural network fault detection, suitable for beginners to see. Including normalization, anti-normalized, save the file and other functions.
Date : 2025-12-28 Size : 1kb User : kevin
[AI-NN-PR] Extreme-nonlinear-function DL : 0: 用函数输入输出数据训练BP神经网络,使训练后的网络能够拟合非线性函数输出,保存训练好的网络用于计算个体适应度值。根据非线性函数方程随机得到该函数的4000组输入输出数据,存储于data中,其中input为函数输入数据,output为函数对应输出数据,从中随机抽取3900组训练数据训练网络,100组测试数据测试网络拟合性能。最后保存训练好的网络。-With the function input and output data to train BP neural network, so that the trained network is capable of fitting nonlinear function of the output, save the trained network is used to calculate the value of individual fitness. According to the nonlinear functional equations randomly get this function up to 4000 input and output data, stored in the data, where the input as a function of the input data, output as a function of the corresponding output data from 3900 randomly selected set of training data to train the network, 100 sets of test data test Fitting network performance. Finally, save the trained network.
Date : 2025-12-28 Size : 98kb User : 万二
[AI-NN-PR] mnist DL : 0: 使用了全连接网络，卷积神经网络，循环神经网络分别构建不同的分类器，如何通过模型保存原理进行保存。(Using the fully connected network and convolution neural network, recurrent neural network builds different classifiers respectively, and how to save them through the preservation principle of the model.)
Date : 2025-12-28 Size : 36.27mb User : hhhwl