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使用matlab编写的BP神经网络的算法，使用单隐层的网络，其中包括一个实例文件，对20个数据作分类。-Prepared using matlab algorithm BP neural network, using a single hidden layer networks, including an instance of the file, the data for 20 categories.
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This paper describes a Model Reference Adaptive
System (MRAS) based scheme using a multilayer
Recurrent Neural Network (RNN) for online speed
estimation of sensorless vector controlled induction
motor drive.
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Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes.
- The snapshot and bitmap of shapes are given:
- Training shapes: shkt.bmp
- Training p
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Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and pattern recognition, ECG data and includes source code written in MATLAB.
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利用matlab语言实现的RBF神经网络建模例子,对学习RBF建模很有帮助(Using the matlab language to realize RBF neural network modeling example, RBF model is very helpful in learning)
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