LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun] - a podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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

Further episodes of Learning Machines 101

Further podcasts by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

Website of Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.