Hi Mohammad Mehio,
In MATLAB, several functions are available for creating and training neural networks, especially for classification and function fitting tasks. Although some of these functions have been in use for quite some time, they have become outdated as MATLAB evolved. It is now recommended to adopt newer functions and workflows.
When you type “doc newff” in the command window, you will see the following message in the documentation:
“Obsoleted in R2010b NNET 7.0. Last used in R2010a NNET 6.0.4.”
This applies to all the functions you mentioned.
Here are some updated alternatives to the functions “newff,” “newcf,” and “newelm,” that you can consider:
- newff: This function was used to create a feedforward backpropagation network. The function “feedforwardnet” is recommended.
- newcf: This function was used to create a cascade-forward backpropagation network. The function “cascadeforwardnet” is recommended.
- newelm: This function was used to create an Elman recurrent network. The function “elmannet” can be used instead.
Please refer to the following documentation to know more about deep learning tools and functions:
1) MATLAB Deep Learning Toolbox Documentation:
- https://www.mathworks.com/help/deeplearning/index.html This page provides an overview of the deep learning toolbox, including getting started guides, examples, and function references.
2) Function related resources and documentations:
- feedforwardnet: https://www.mathworks.com/help/deeplearning/ref/feedforwardnet.html Documentation for creating feedforward neural networks.
- cascadeforwardnet: https://www.mathworks.com/help/deeplearning/ref/cascadeforwardnet.html Documentation for creating cascade-forward networks.
- elmannet: https://www.mathworks.com/help/deeplearning/ref/elmannet.html Documentation for Elman networks.
I hope this helps you in finding the classification functions!
