The shortcomings of automatic learning in neural networks can be overcome by incorporating features of the problem into the weight space. We teach a multi-layer perceptron to recognize hand-printed characters by using a multi-scale method. This leads to better performance for learning rates and for generalization than direct use of back-propagation.
|Original language||English (US)|
|Number of pages||7|
|State||Published - Apr 1990|
All Science Journal Classification (ASJC) codes
- Computer Science(all)