Description: 这个软件支持Bayesian衰退和分类模形，它基于神经系统网络和Gaussian作用。它也包括一些根本的程序实现有限和无限混合的模型。-software support this recession and Bayesian classification pattern, It is based on neural network and Gaussian role. It also includes some of the procedures to achieve limited and unlimited mixed model. Platform: |
Size: 1180672 |
Author:方正 |
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Description: 这个软件可以对输入的象素矩阵进行识别。是根据《Neural Network Design》（Martin T. Hagan等）中的关于有监督的Heb学习编写的。使用JBuilder开发的界面，使用JCreator开发的核心。-the software can input pixel matrix identification. Based on "Neural Network Design" (Martin T. Hagan, etc.) on the supervision of a study prepared by the Heb. Using JBuilder development of the interface, use JCreator development of the core. Platform: |
Size: 590848 |
Author:刘方然 |
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Description: 某大学的人工神经网络的课件，比较详细。其中介绍的一些参考书不错。-a University of Artificial Neural Network Software, a more detailed. Describing some good reference books. Platform: |
Size: 242688 |
Author:zhaoyan |
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Description: 本软件是一套完全基于神经网络的语音识别处理软件。
本软件为纯绿色软件，无须安装，解压到任意一个目录下，直接运行主程序 whd.exe ，卸载时删除所在目录即可，软件不会给系统留下任何垃圾，请放心试用，但为了您的数据安全，在使用时请先将重要数据保存备份，呵呵，我信不过微软啊:)
本软件使用的是本人自行开发的神经网络处理系统，但因工程浩大，且本人穷，只能独立编写，所以现在这个试用版所使用的神经网络系统并不完整，只实现了我最初设计的一半功能，识别效果还不是很理想，正在改进中:) 但还是希望大家能对软件提出宝贵意见，我的邮箱：whd_china@etang.com 或 yinshishan@sina.com
-this a completely software based on neural network speech recognition processing software. The software for the pure green software, no installation, to extract an arbitrary directory and run the main program whd.exe. unloading directory will be deleted, the software system will not leave any garbage, please rest assured that trial. But for the sake of your data security, the post will be used to preserve important data backup, Oh, I trust Microsoft ah : ) This is the software I use to the development of the neural network processing system, but the project is a huge one, himself poor, only independent prepared, the trial version now used by the neural network system is incomplete. I just realized the first half of the design function, recognition effect is not very satisfactory, is imp Platform: |
Size: 2885632 |
Author:zw |
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Description: 人工神经网络技术入门讲稿
作为人工神经网络的入门，作者希望通过对人工神经网络及其基本网络模型的介绍，使学生初步了解智能系统描述的基本模型，掌握人工神经网络的基本概念、单层网、多层网、循环网等各种基本网络模型的结构、特点、典型训练算法、运行方式、典型问题、软件实现方法等.-artificial neural network technology portal script as Artificial Neural Network portal, The authors hope that through artificial neural networks and basic network model introduction, enable students to a preliminary understanding of the intelligent system described in the basic model, the artificial neural network grasp of the basic concepts of single-layer network, Multi-network, network cycle basic network model for the structure and characteristics of typical training algorithm, the mode of operation, typical problems, Software methods. Platform: |
Size: 600064 |
Author:sohpmm |
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Description: 介绍了用vc++调用matlab引擎库函数的方法，利用这种方法在应用软件开发过程中既能发挥vc++强大的界面开发功能，又充分利用了matlab的复杂运算和处理能力，并把这一技术应用于神经网络程序的设计，取得了很好的效果。-Introduction by vc++ Call matlab engine library function, using this method in the application of the software development process can play vc++ Powerful interface development function, matlab full advantage of the complexity of computing and processing capability, and the technology used in neural network design process, and achieved very good results. Platform: |
Size: 86016 |
Author:luhui |
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Description: BP 网络进行0 - 9 十个数字图像的识别
在BP 算法和数字图像处理技术的基础上, 本文在MATLAB 软件环境下提取Word 文档中26 种字体的
0 - 9 十个数字的图像, 使用MATLAB 神经网络工具箱及图像处理工具箱进行数字的识别, 给出了较详细的处理
步骤及相关程序, 并比较了各种识别算法的收敛速度和识别率。-BP network of 10 digital images 0_9 identification in BP algorithm and digital image processing technology, based on the MATLAB software environment In this paper, extraction of Word documents under the 26 kinds of fonts in the 0- 9 of 10 digital images, using the MATLAB neural network tool boxes and digital image processing toolbox of identification, are given more detailed processing steps and related procedures, and compare a variety of identification algorithms and identify the rate of convergence speed. Platform: |
Size: 457728 |
Author:Jack |
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Description: 本文介绍了一个用java语言编写的用于分析消费行为的数据挖掘应用软件，并对于所应用的算法进了分析和解释。此软件具有客户消费等级分类，客户消费模式记
录，客户消费行为判断，异常消费警告等主要功能。该软件适用于银行业的决策者和网络购物的平台
-【Abstract】This review presents the course of developing software of Customer Behavior Analysis System with JAVA programming language and data mining technology .The paper presents the theories and methods of algorithm that we have used in the software .This software can be widely used in decision-maker in the bank and online-shopping platform.
【Keyword】Behavior Analysis Software BP Neural Network Personal Model Data Process Classification
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Size: 5535744 |
Author:caiwei |
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Description: 模糊神经网络与软件计算的各章代码，值得学习，望对大家有用-Fuzzy neural network computing and software of the various chapters of the code, it is worth learning, look for useful Platform: |
Size: 334848 |
Author:杨树仁 |
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Description: 本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。-This paper discusses the nerve network PID control strategy and a single neural and adaptive PID controller is presented, and it s model is given here. The algorithm of PID controller is explored by revising the weighted coefficient . Make use of the study ability of the nerve network to turing the PID control parameter, and proceeds the simulation research using matlab software. From the simulation results, it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability, and can get satisfied control result.
Key Words: PID；single Neuron；self-adaptive
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Size: 7168 |
Author:大同小异 |
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Description: 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制BP算法精度高、收敛快，在非线性控制、鲁棒控制等领域具有良好的应用前景。 -Inverted pendulum is a complex, time-varying, nonlinear, strong coupling, the natural instability of the high-end systems, many of the abstract concept of control theory to pass through the inverted pendulum experiment demonstrated intuitive. Based on artificial neural network BP algorithm inverted pendulum experiment simulation training model car, the Inverted Pendulum BP network input 3-layer structure of 4. Input layer, respectively, for the car s displacement and speed of deviation from the plumb line placed under the angle and angular velocity. Hidden layer unit number 16. Output layer is set to an output unit. Tansig function using input layer, hidden layer Logsig function used, the output layer Purelin function. Numerical calculation using Matlab 6.5 software for learning and training model, and linear feedback control logic algorithm comparison, show that the inverted pendulum control of BP algorithm and high precision, fast convergence in nonlinear control, robust control and Platform: |
Size: 217088 |
Author:月到风来AA |
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Description: 非常完整的神经网络设计电子课件，提供各类神经网络的详细结构及解析-Neural network is a complete electronics design software to provide various kinds of neural network structure and the detailed analysis Platform: |
Size: 2137088 |
Author:wenhan |
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Description: gmdh神经网络专用软件knowledgeminer5.0，注意要用中介软件executor才能在windows下使用-gmdh neural network-specific software knowledgeminer5.0, note that the software executor to use an intermediary to use in windows Platform: |
Size: 5238784 |
Author:cloud |
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Description: 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. Platform: |
Size: 387072 |
Author:张聪 |
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Description: 研究并分析了B P神经网络的结构和特点，针对不足之处提出改进方法。在改进的基础
上建立神经网络软件可靠性新模型。通过MATL AB仿真工具进行了实例仿真，证实该新模型比传统
模型预测精度高，泛化能力强-Research and analysis of the structure and characteristics of BP neural network, an improved method for the shortcomings. In the modified base
The establishment of a new model of neural network software reliability. By MATL AB simulation tool was simulated, confirmed that the new model than the traditional
Model predicts high precision, strong generalization ability Platform: |
Size: 603136 |
Author:李云 |
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