Neural network backpropagation algorithm

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data_xcom
data_xcom 2013-9-22
评论： Bachtiar Muhammad Lubis 2018-11-13
Please I am going to desig a simple neural network with the following dimensions: 26 elements and 100 samples (26*100 input matrix ), 26 output neurons and only one sample (26*1 target matrix) ,1 hidden layer with 10 neurons .
problem description : i need a valid code for in-core fuel management optimization (nuclear engineering problem ) in which number of samples each consists of 26 element are entered as input matrix and only one of the samples is chosen as output (26*1) based on a reference sample .
please I need a valid code to execute this design using the feed-forward back propagation algorithm;especially how to set my targets. Also I need parameters to check the network performance especially error rate.

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Greg Heath
Greg Heath 2013-9-25
Regression and classification Neural Nets are based on matching I-dimensional input vectors with corresponding O-dimensional output vectors.
Are you able to reconfigure your problem into this scenario?
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Bachtiar Muhammad Lubis
Bachtiar Muhammad Lubis 2018-11-13
if case for extracting all text in document image o word docume(.doc) . are the inputs character in that document ( cropped image) or something else ?int

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