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Train a two layer neural network with a recursive prediction error
％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
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％ The activation functions can either be linear or tanh. The netw
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Online identify the plant dynamic by using intelligent architectures here using MLP architecture neural network for the plant.
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Online identify the plant dynamic by using intelligent architecture, here using RBF Neural network for the plant.
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This a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32.
Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons
respectively and 1 layer output with 1 neuron.This pr
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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BP神经网络：应用BP神经网络逼近非线性函数，采用单层网络结构。提供仿真实例与源代码M文件，对于新手学习神经网络算法有很大的帮助！-BP neural networks: BP neural network to approach nonlinear function, single-layer network architecture. The simulation provided with the source code file M, neural network algorithm f
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