Extending ETL for multi-class output
Narendra S. Chaudhari, Aruna Tiwari · 2003
We present a method for extending the expand and truncate learning (ETL) technique for multi-class output. Kim and Park (1995) have given two hints for solving the same problem, but their hints may result in a large sized neural net. Here, we propose another method for the same problem, which is expected to result in a smaller neural net. Our method is based on yet other known technique introduced by Gray and Michel (1992), called the Boolean like training algorithm.