Jordan Recurrent Neural Network for Data Classification Algorithm

Version 1.0.0.0 (3.46 KB) by Arnav Goel
Development of Data Classification Algorithm of randomized sequences using Jordan RNN
4.3
(3)
2.1K Downloads
Updated 27 Nov 2012

View License

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.

Cite As

Arnav Goel (2024). Jordan Recurrent Neural Network for Data Classification Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/39139-jordan-recurrent-neural-network-for-data-classification-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Sequence and Numeric Feature Data Workflows in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
1.0.0.0