Description: 用Delphi开发神经网络的论文，可用来参考下。-with Delphi neural network papers, which can be used to refer to the next. Platform: |
Size: 200438 |
Author:王鹏 |
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Description: BP神经网路的改进算法
delphi实现，帮帮忙，怎么大家都做过了呢？-BP neural network to achieve improved algorithm delphi, help out how we all done? Platform: |
Size: 434176 |
Author: |
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Description: 感知机分类算法用于文献分类,基于BP神经网络的基本算法-Perceptron classification algorithm for Literature Classification, based on BP neural network algorithm Platform: |
Size: 187392 |
Author: |
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Description: 这是一个用Delphi写的ART神经网络源码，希望对学习ART神经网络的朋友有帮助-This is a written using Delphi ART neural network source, ART hope that the right learning neural network to help friends Platform: |
Size: 3072 |
Author:zwj1680 |
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Description: 用Delphi开发神经网络的论文，可用来参考下。-with Delphi neural network papers, which can be used to refer to the next. Platform: |
Size: 199680 |
Author:王鹏 |
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Description: 继续神经网络编程，bp算法，delphi 2005下编译通过-Continue to neural network programming, bp algorithm, delphi 2005 under the compiler through Platform: |
Size: 4096 |
Author:robin |
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Description: This program simulates a 3 or 4-layer Neural Network, and can be used to
simulate an arbitrary, complex, or non-linear function that would be
difficult to implement by traditional methods. The Back Propagation
method is used "teach" the network the desired function.
Adjacent layers of the net are fully interconnected that is, every
neuron in layer 1 is connected to every neuron in layer 2, and every
neuron in layer 2 is connected to every neuron in layer 3 (1->2, 2->3).
With a 4-layer net, there is further interconnection: 1->2, 1->3, 2->3,
2->4, 3->4.
- This program simulates a 3 or 4-layer Neural Network, and can be used to
simulate an arbitrary, complex, or non-linear function that would be
difficult to implement by traditional methods. The Back Propagation
method is used "teach" the network the desired function.
Adjacent layers of the net are fully interconnected that is, every
neuron in layer 1 is connected to every neuron in layer 2, and every
neuron in layer 2 is connected to every neuron in layer 3 (1->2, 2->3).
With a 4-layer net, there is further interconnection: 1->2, 1->3, 2->3,
2->4, 3->4.
Platform: |
Size: 49152 |
Author:cso |
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Description: Fast Artificial Neural Network Library是一个免费开源的神经网络库，它用C实现了支持全连接及稀连接的多层人工神经网络，并且支持定点和浮点数的跨平台运行。库中包含有易于处理训练数据的框架。它易于使用、通用、文档完备并且快速。目前已有PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data 和 Mathematica的绑定。库中还附有一本带例子和关于如何使用本库的建议的参考手册，本库也有一个可用的图形用户接口。-Fast Artificial Neural Network Library is a free open source neural network library, it uses C to achieve full connectivity and dilute support for multi-layer artificial neural network connections, and supports fixed and floating-point cross-platform operation. Library contains easy to handle training data framework. It is easy to use, universal, comprehensive documentation and quick. At present, PHP, C++,. NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data and Mathematica bindings. The library is accompanied with an example of how to use the library and on the recommendations of the reference manual, available in this library also has a graphical user interface. Platform: |
Size: 4033536 |
Author:hopper |
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Description: 用Delphi实现的标准BP神经网络算法，测试数据以txt文件给出，在文件夹下有。-Delphi to achieve with the standard BP neural network algorithm, the test data to txt file are given in the folder under. Platform: |
Size: 462848 |
Author:高雅田 |
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Search - neural network delphi