Name
Abstract | ||
|---|---|---|
The associative Hopfield memory is a form of recurrent Artificial Neural Network (ANN) that can be used in applications such as pattern recognition, noise removal, information retrieval, and combinatorial optimization problems. This paper presents the implementation of the Hopfield Neural Network (HNN) parallel architecture on a SRAM-based FPGA. Themain advantage of the proposed implementation is its high performance and cost effectiveness: it requires O(1) multiplications and O(log N) additions, whereas most others require O(N) multiplications and O(N) additions. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1155/2011/189368 | Adv. Artificial Neural Systems |
Field | DocType | Volume |
Binary logarithm,Associative property,Computer science,Field-programmable gate array,Static random-access memory,Time delay neural network,Artificial intelligence,Artificial neural network,Hopfield network,Noise removal,Machine learning | Journal | 2011, |
Citations | PageRank | References |
5 | 0.55 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wassim Mansour | 1 | 14 | 2.10 |
| Rafic A. Ayoubi | 2 | 66 | 7.60 |
| Haissam Ziade | 3 | 67 | 5.97 |
| Velazco, R. | 4 | 19 | 2.44 |
| Wassim E. L. Falou | 5 | 11 | 2.19 |