Description: 这是cmu大学的一个研究小组编写的神经网络中反向传播算法的源代码，很有参考价值。-This is a university research group to prepare the neural network back-propagation algorithm source code of great reference value. Platform: |
Size: 11644 |
Author:冯贵玉 |
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Description: bp反向传播算法,用c++编写,用于航空运输预测问题.-bp back-propagation algorithm, using c prepared for the Air Transport prediction. Platform: |
Size: 2358 |
Author:张劼 |
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Description: 开发环境:C语言
简要说明:BackProp算法：BP网络是反向传播(Back Propagation)网络。它是一种多层前向网络，采用最小均方差学习方式。这是一种最广泛应用的网络。它可用于语言综合，识别和自适应控制等用途。BP网络需有教师训练。
-development environments : C language Brief Description : BackProp algorithm : BP is the back-propagation network (Back Propagation) network. It is a multi-layer networks, all using the smallest variance learning. This is one of the most widely used network. It can be used language integrated, identification and adaptive control purposes. BP teachers need training. Platform: |
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Author:刘华 |
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Description: 误差反向传播网络(Back propagation network,简称BP网络)是神经网络中最活跃的方法，且绝大多数采用了三层结构(输入层、一个隐含层和输出层).BP网络是一种非线性映射人工神经网络.本程序用vb实现的bp算法-error back-propagation network (Back propagation network, called BP) neural network is the most active, but the majority adopted a three-tier structure (input layer, a hidden layer and output layer). BP network is a non-linear mapping of artificial neural networks. The procedures used vb the algorithm to achieve bp Platform: |
Size: 28676 |
Author:fuyu |
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Description: 反向传播算法的变形例子的CGBP，共轭梯度的轨迹算法程序。有WINDOWS界面。-back propagation of the deformation CGBP example, the conjugate gradient algorithm track procedures. A Windows interface. Platform: |
Size: 4272 |
Author:xu |
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Description: Back propagation neural networks and its Application: Time-Series Forecasting Prediction of the Annual Number of Sunspots
-Back propagation neural networks and its Application : Time-Series Forecasting Prediction of the Annual Number of Sunspots Platform: |
Size: 4403 |
Author:风 |
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Description: 无密码，按CLOSE就可。
第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。-without passwords, according CLOSE can. The first chapter is the basic neural network, the second chapter includes a toolbox designated by the network structure and symbols, the basic materials and the creation of neural networks, the basic functions, such as new, init, adapt and train. III to back-propagation network as an example to explain the back-propagation network theory and application of the basic process. Platform: |
Size: 95389 |
Author:lili |
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Description: 命的一个重要特征就是能够自我繁殖，也就是自我复制。那么，程序能自我复制么？更一般的，一个系统上的构形能自我复制么？答案是肯定的，早在60年代的时候，著名科学家Von Neumann就研究过能够自我复制的细胞自动机，并从理论上证明了它是可能的。后来，随着人工生命的兴起，科学界兴起了研究自我复制的细胞自动机的热潮。在这个程序中，你能看到Langton的自我复制圈、chou的自我复制程序还有Langton的蚂蚁细胞自动机等等。-fate of the important features is a self-propagation, which is self-reproduction. Well, the procedure should be self-replicating? More generally, a system configuration of the self-replication? The answer is yes, back in the 1960s, the famous scientist on the Von Neumann studied to self-replicating cellular automata, and theoretically proved that it is possible. Later, as the rise of artificial life, the scientific community was created in the study self-replicating cellular automata craze. In this process, you can see the self-replication Langton laps chou self-reproduction procedures also Langton's Ant Cellular Automata and so on. Platform: |
Size: 5120 |
Author:若令 |
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Description: 完整的反向传播神经网络模式识别C++源代码,原版权威所著,学习物有所值.-integrity of the back-propagation neural network pattern recognition C source code, original authoritative book, learning value for money. Platform: |
Size: 215040 |
Author:John NI |
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Description: DTMF双向收／发集成电路MT8880专门为双音频信号的收、发而设计，它既能产生发送双音频信号，又能对双音频信号进行接收译码，还能判断各种信号音(拨号音、回铃音、忙音)。以上就是它的应用电路和程序-Two-way DTMF collection/fat MT8880 IC specifically for the dual audio signals received, the design, it could have sent dual audio signal, while the dual audio signal decoding receiver, but also to judge the sound signal (dial tone , ring back tone, busy tone). Above is its application circuit and procedures Platform: |
Size: 54272 |
Author:徐徐 |
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