Description: 本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
-I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew, Platform: |
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Author:chenlei |
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Description: 神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。
-Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system. Platform: |
Size: 74752 |
Author:zhaiyaojie |
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Description: BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is a multi-layer feedback-free network Platform: |
Size: 54272 |
Author:yongweihuang |
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Description: BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is a multi-layer feedback-free network Platform: |
Size: 184320 |
Author:yongweihuang |
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Description: 过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响
-The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the Platform: |
Size: 57344 |
Author:李玉 |
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Description: 反向传播算法也称BP算法，是一种神经网络学习的数学模型，解决多层前向神经网络的权系数优化-Back-propagation algorithm, also known as BP algorithm is a neural network study of the mathematical model and solve multi-layer feedforward neural network weights optimization Platform: |
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Author:wangzhuz |
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Description: PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1995], such as the continuous development and improvement has been successfully applied to machine learning, artificial intelligence, automatic control and many other fields. Probabilistic neural network than the multi-layer feedforward network of simple math, and are easy to achieve Platform: |
Size: 8192 |
Author:piano |
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Description: 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 Platform: |
Size: 184320 |
Author:fast man |
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Description: Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the method for clustering.
* Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.)
Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool.
If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
-Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM)- originally proposed by T.Kohonen as the method for clustering.
* Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.)
Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool.
If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
Platform: |
Size: 214016 |
Author:Jessie |
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Description: implementation of feedforward neural network to recognize the faces with sunglasses from open faces.data source is from machine learning book by mitchell Platform: |
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Author:maisam |
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Description: design and implementation of feedforward neural network with BP training algorithm.(include the GUI) Platform: |
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Author:maisam |
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Description: 本文提出一种粗糙集理论和动态前馈神经网络相结合的神经网络构造方法。充分发挥了粗糙集理论和神经网络的优势，弥补了各自的缺点。并应用于实际工业过程，在乙烯装置裂解炉燃料气热值控制中取得了良好的应用效果。-This paper presents a rough set theory and dynamic feedforward neural networks combined neural network constructed. Give full play to the rough set theory and neural networks the advantage to make up for their shortcomings. And applied to practical industrial processes, in the ethylene plant cracking furnace fuel gas calorific value of control to achieve a good application effect. Platform: |
Size: 402432 |
Author:王飞 |
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Description: 3层前馈神经网络,java编写。format用于约束输入数据的格式-3-layer feedforward neural network, java write. format the format of the input data for the binding Platform: |
Size: 4096 |
Author:zhongguo |
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Description: 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, Kd as the PID controller parameters ,insteading of the traditional PID parameters determined by experience. So it can obtain good control performance . Platform: |
Size: 577536 |
Author:durongmao |
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Description: 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法:Gauss变异动态调整BP算法中学习率参数和冲量系数-This program is a three-layer error back propagation feedforward neural networks supervised learning algorithm: the Gauss variation dynamically adjusts the learning rate in BP algorithm parameters and impulse coefficient Platform: |
Size: 292864 |
Author:wanglu |
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Search - feedforward neural