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实现了RBF网络,已载入训练和测试样本,可根据需要将其更换...

于 2022-06-29 发布 文件大小:13.71 kB
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实现了RBF网络,已载入训练和测试样本,可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace

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    这是一个神经网络开发包。目录ann下是专门针对神经网络的代码,外部目录是一些公用的代码,与神经网络无关,但是神经网络的代码用到了它们。 ann目录下有一个目录demo,里面存放了一些示例程序,请参照它们进行编程。 ann/prj/vs7下是编译整个库的Visual Stdudio 2003工程文件-This a neural network development kit. Ann directory under specific neural network code, external directory is some common code, has nothing to do with the neural network, but neural networks use of their code. Ann directory is a directory demo, stored inside a sample program, please refer to their program. Ann/prj/vs7 under compiler for the entire 2003 Visual Stdudio engineering documents
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    积分:1
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    内附两个源代码,其中一个源代码是识别程序的,另一个是一个矩阵类库的,所以一并附上。 ~..~因为已经保存了训练好的网络权值,所以第一次使用识别程序时,可以直接运行Release目录下的可执行文件,然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络,不过要特别注意训练样本的选择,否则可能造成识别率很低。训练样本选择的原则是,尽可能的有代表性,在训练时间不至于太长的情况下,训练样本数目尽量多。 -containing 2 source code, which is a source identification procedures, and the other is a matrix class library. So accompanied. ~ ~ .. Has been preserved because of the trained network weights, the first use of the identification procedures, can be run directly Release directory executable file, Then the catalog of tests conducted read into the picture, recognition. Certainly readers can use their own training samples training network, but special attention should be paid to the choice of training samples, Otherwise, it could cause a very low recognition rate. Training sample selection principle is that as far as possible be representative, in the training of the time not too long under the circumstances, the number of training samples as much as possible.
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