用matlab怎么进行神经网络训练,如何在Matlab中使用训练好的神经网络进行实际系统的分类(How to use trained Neural Network in Matlab for clas...

最新推荐文章于 2025-05-21 15:34:20 发布

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#用matlab怎么进行神经网络训练

博主在使用Matlab Neural Network Toolbox训练了一个包含语音特征和加速度计数据的神经网络，目标是二分类。但在实时测试中，仅得到百分比正确率而无实际分类结果。寻求将预训练模型用于实时分类并显示具体分类结果的方法。

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I have trained Feed Forward NN using Matlab Neural Network Toolbox on a dataset containing speech features and accelerometer measurements. Targetset contains two target classes for dataset: 0 and 1. The training, validation and performance are all fine and I have generated code for this network.

Now I need to use this neural network in real-time to recognize pattern when occur and generate 0 or 1 when I test a new dataset against previously trained NN. But when I issue a command:

c = sim(net, j)

Where "j" is a new dataset[24x11]; instead 0 or 1 i get this as an output (I assume I get percent of correct classification but there is no classification result itself):

c =

Columns 1 through 9

0.6274 0.6248 0.9993 0.9991 0.9994 0.9999 0.9998 0.9934 0.9996

Columns 10 through 11

0.9966 0.9963

So is there any command or a way that I can actually see classification results? Any help highly appreciated! Thanks