Function Approximation Using Neural Network Without using Toolbox 1.0

Date Added: July 14, 2013 | Visits: 473

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This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.

Requirements: No special requirements

Platforms: Matlab

Keyword: Algorithm, Applied, Basic, Didn, Dsin Pix Sin Pix, Error, Feature, Hidden, Implements, Learning, Linear, Network, Neural, Neuron, Neurons, Output, Predicting, Propagation, Toolbox

Users rating: 0/10

License: Freeware

Size: 112.64 KB

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