Jordan Recurrent Neural Network for Data Classification Algorithm
Development of Data Classification Algorithm of randomized sequences using Jordan RNN
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This is MATLAB Script for Jordan RNN in MATLAB compatible for NNT 5.0 and above.It is then tested using a variant of appelm1 called appjor1 which uses the Jordan RNN for data classification and thresholding of randomized sequences.
Each biases vector obtained at the end of the algorithm is unique to the data set and is an attribute of its data set.
This algorithm has been proposed for mirror neurons action generation and execution testing in artificial neural networks by Oztop, Arbib (http://www.ncbi.nlm.nih.gov/pubmed/16595172)
Do write to me back at arnavgoel2016[at]gmail[dot]com for any changes or reviews.
引用
Arnav Goel (2026). Jordan Recurrent Neural Network for Data Classification Algorithm (https://jp.mathworks.com/matlabcentral/fileexchange/39139-jordan-recurrent-neural-network-for-data-classification-algorithm), MATLAB Central File Exchange. に取得済み.
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| 1.0.0.0 |
