Name
Title | ||
|---|---|---|
Parallel Levenberg-Marquardt-Based Neural Network Training on Linux Clusters - A Case Study |
Abstract | ||
|---|---|---|
This paper addresses the problem of pattern classification using neural networks. Applying neural network classifiers for classifying a large volume of high dimensional data is a difficult task as the training process is computationally expensive. A parallel implementation of the known train- ing paradigms offers a feasible solution to the problem. By exploiting the massively parallel structure of the Levenberg- Marquardt algorithm for non-linear optimization a training algorithm for neural networks has been implemented on a Linux cluster using LAM (Local Area Multi-computer) MPI (Message Passing Interface). The implementation, besides facilitating the main objective of maximising computational speedup, is also portable and scalable. A standard bench- mark for neural network training comprising a sufficiently large volume of satellite image data has been utilized to present and discuss the properties of the implementation. |
Year | Venue | Keywords |
|---|---|---|
2002 | ICVGIP | high dimensional data,message passing interface,neural network,computer science,linux cluster,levenberg marquardt |
Field | DocType | Citations |
Massively parallel,Computer science,Time delay neural network,Message Passing Interface,Artificial intelligence,Artificial neural network,Computer engineering,Speedup,Pattern recognition,Machine learning,Computer cluster,Levenberg–Marquardt algorithm,Scalability | Conference | 9 |
PageRank | References | Authors |
1.36 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| N. N. R. Ranga Suri | 1 | 19 | 3.99 |
| Dipti Deodhare | 2 | 18 | 5.14 |
| P. Nagabhushan | 3 | 405 | 48.86 |