LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun]
Learning Machines 101 - A podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
![](https://is1-ssl.mzstatic.com/image/thumb/Podcasts113/v4/7e/d5/9f/7ed59f05-765c-a222-73b5-a48d0945417c/mza_2773203839223500281.jpg/300x300bb-75.jpg)
Categories:
Welcome to the 34th podcast in the podcast series Learning Machines 101 titled
"How to Use Nonlinear Machine Learning Software to Make Predictions".
This particular podcast is a RERUN of Episode 20 and describes step by step how to download free software which can be used to make predictions using a feedforward artificial neural network whose hidden units are radial basis functions. This is essentially a nonlinear regression modeling problem. Check out: www.learningmachines101.com
and follow us on twitter: @lm101talk