Name
Title | ||
|---|---|---|
Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters |
Abstract | ||
|---|---|---|
Supervised learning algorithms (i.e. Back Propagation algorithms, BP) are reliable and widely adopted for real world applications. Among supervised algorithms, stochastic ones (e.g. Weight Perturbation algorithms, WP) exhibit analog VLSI hardware friendly features. Though, they have not been validated on meaningful applications. This paper presents the results of a thorough experimental validation of the parallel WP learning algorithm on the recognition of handwritten characters. We adopted a local and adaptive learning rate management to increase the efficiency. Our results demonstrate that the performance of the WP algorithm are comparable to the BP ones except that the network complexity (i.e. the number of hidden neurons) is fairly lower. The average number of iterations to reach convergence is higher than in the BP case, but this cannot be considered a heavy drawback in view of the analog parallel on-chip implementation of the learning algorithm. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-46084-5_101 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
bp case,weight perturbation algorithm,supervised algorithm,wp algorithm,analog parallel on-chip implementation,exhibit analog vlsi hardware,recognising hand-written characters,propagation algorithm,adaptive learning rate,supervised learning algorithm,stochastic supervised learning algorithms,average number,parallel wp,parallel algorithm,supervised learning,neural network,backpropagation algorithm,chip | Semi-supervised learning,Stability (learning theory),Computer science,Parallel algorithm,Supervised learning,Unsupervised learning,Artificial intelligence,Adaptive algorithm,Artificial neural network,Backpropagation,Machine learning | Conference |
Volume | ISSN | ISBN |
2415 | 0302-9743 | 3-540-44074-7 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matteo Giudici | 1 | 1 | 0.36 |
| Filippo Queirolo | 2 | 4 | 1.33 |
| M. Valle | 3 | 97 | 19.19 |