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[Other resource] NN3 DL : 0: Noise Data 神经网络算发演示3-Noise Data neural networks count the three demonstration
Update : 2008-10-13 Size : 99.49kb Publisher : 唐稍逊
[Other resource] Artificial-Neural-Network-training-Model DL : 0: BP人工神经网络三层数据训练程序兼各代码的说明-BP ANN three-tier data and training procedures of the code of the
Update : 2008-10-13 Size : 1.32kb Publisher : ck2050
[Other resource] iris data analysis DL : 1: 经典的人工智能问题 - iris数据分析问题。通过设计三层bp神经网络对花朵数据进行分类识别，并达到了很好的效果。-classic AI problem - iris data analysis problems. Three-bp through the design of neural networks classify data flower identification, and to achieve good results.
Update : 2008-10-13 Size : 253.01kb Publisher : lyx
[AI-NN-PR] 神经网络源代码(附说明文档和数据） DL : 0: 一个完整BP神经网络源代码，包括数据和说明文档-a complete neural network source code, including data and documentation
Update : 2025-02-17 Size : 325kb Publisher : 高山
[AI-NN-PR] iris data analysis DL : 0: 经典的人工智能问题 - iris数据分析问题。通过设计三层bp神经网络对花朵数据进行分类识别，并达到了很好的效果。-classic AI problem- iris data analysis problems. Three-bp through the design of neural networks classify data flower identification, and to achieve good results.
Update : 2025-02-17 Size : 253kb Publisher : lyx
[AI-NN-PR] BP神经网络源程序及训练样本 DL : 1: 人工神经网络\神经网络的程序和训练数据解压缩后可以运行的-ANN \ neural network training procedures and decompress data after the run
Update : 2025-02-17 Size : 446kb Publisher : 吴光超
[matlab] Artificial-Neural-Network-training-Model DL : 0: BP人工神经网络三层数据训练程序兼各代码的说明-BP ANN three-tier data and training procedures of the code of the
Update : 2025-02-17 Size : 1kb Publisher : ck2050
[Graph Recognize] work DL : 0: 基于BP神经网络对印刷体字符图象进行识别,经过前期处理,获得64*64的二值图象,其二值图象数据作为神经网络的输入.-BP neural network based on the characters of the print images to identify, after pre-treatment, access to 64* 64 binary image, and the second value of image data as the neural network input.
Update : 2025-02-17 Size : 11kb Publisher : 张海伟
[Graph Recognize] Character_Recognition_Using_Neural_Networks DL : 0: Character Recognition Using Neural Networks Steps to use this GUI. 1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored) 2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press "TEACH". 3. You can save all the taught data. 4. For retrival, click start. Note: Paint Brush software of microsoft opens for entering the image. So, we need to save the image after editing. For best results teach each Character not less than ten times.
Update : 2025-02-17 Size : 170kb Publisher : ruan
[AI-NN-PR] data-dig DL : 0: 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法, 决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Bayesian Classifier, the basic concepts of association rules, data mining algorithms, decision tree method in data mining applications, training Bayesian belief networks, to the spread of Bayesian belief networks, to the dissemination and interpretability, multi-layer feedforward neural network
Update : 2025-02-17 Size : 180kb Publisher : fast man
[AI-NN-PR] RBF DL : 0: 基于梯度法编写的RBF神经网络程序，实现对输入数据的逼近-Gradient method based on the preparation process of the RBF neural network to achieve the approximation of the input data
Update : 2025-02-17 Size : 1kb Publisher : wshli
[AI-NN-PR] shenjing DL : 0: 使用bp神经网络进行分类。包括鸢尾花数据，以及训练过程和分类结果。包含非常详细的注释。-Use of bp neural network classification. Including the iris data, and training process and classification results. Contains very detailed notes.
Update : 2025-02-17 Size : 1kb Publisher : songmin
[AI-NN-PR] 12k-Drive-End-Bearing-Fault-Data DL : 0: 人工神经网络算法，用于故障诊断，可以判断故障类型。-Artificial neural network algorithm for fault diagnosis, fault type can be judged.
Update : 2025-02-17 Size : 9.06mb Publisher : 魏晓宾
[AI-NN-PR] neural-networkclassification- DL : 0: 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
Update : 2025-02-17 Size : 46kb Publisher : jiaxing
[AI-NN-PR] BP-neural-network-model DL : 0: 本文在了解神经元和BP算法的基础上，使用MATLAB软件作为开发工具建立BP神经网络模型，重点研究了BP神经网络结构设计的原理和方法，包括影响BP神经网络训练能力的因素，以及这些因素如何影响BP神经网络的性能；改变不同参量，对比实验数据，总结各个参量对BP神经网络的影响。从而寻找最佳的BP神经网络模型。本文还对一些其他的神经网络算法进行了总结和介绍。- In this paper , based on understanding of the neuronal model and learning BP algorithm. Making use of Matlab software development tools as the establishment of a three-tier BP neural network model used in the project.Morever, Focus on the BP neural network architecture design principles and methods including the impact of BP neural network training ability of factors, and how these factors affect BP neural network performance changes in different parameters, as compared with the experimental data, summing up the various parameters of BP neural network effects. In order to find the best BP neural network model.This paper also introduce a number of other neural network structure and Algorithm.
Update : 2025-02-17 Size : 378kb Publisher : 张聪
[Other] data DL : 0: 光谱数据神经网络分类代码，检测物质，可以有效运用-Spectral data neural network classification code, the test substance
Update : 2025-02-17 Size : 1kb Publisher : 余
[AI-NN-PR] Data-neural-network-forecasting DL : 0: 神经网络的数据预测----电力负荷预测模型研究-Data neural network forecasting---- electricity load forecasting model study
Update : 2025-02-17 Size : 17kb Publisher : song
[Other] data DL : 0: data数据集，可以用于倦级神经网络的训练。(Data data set can be used for training of tired neural network.)
Update : 2025-02-17 Size : 4.49mb Publisher : wyz520
[AI-NN-PR] py3-neural-network-master DL : 0: Python3.6实现神经网络算法，经过mnist数据集测试后表现良好，准确率约为95%-96%。 /src 为源代码 /data为mnist算集(This is a code samples for "Neural Networks and Deep Learning" using python3.)
Update : 2025-02-17 Size : 16.2mb Publisher : 沉默slen
[Books] Learning Data Mining with Python DL : 0: Python数据挖掘入门与实践本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)
Update : 2025-02-17 Size : 3.72mb Publisher : ycg95

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