Synthesis of electromagnetic devices with a novel neural network
| Autor: | Heriberto J. Delgado, Michael H. Thursby, Fredric M. Ham |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Physical neural network
Artificial neural network Computer science Time delay neural network business.industry Computer Science::Neural and Evolutionary Computation Probabilistic neural network Recurrent neural network Computer engineering Cellular neural network Artificial intelligence business Stochastic neural network Nervous system network models |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.549466 |
| Popis: | A novel Artificial Neural Network (ANN) is presented, which has been designed for computationally intensive problems, and applied to the optimization of electromagnetic devices such as antennas and microwave devices. The ANN exploits a unique number representation in conjunction with a more standard neural network architecture. An ANN consisting of hetero-associative memory provided a very efficient method of computing the necessary geometrical values for the devices, when used in conjunction with a new randomization process. The number representation used provides significant insight into this new method of fault-tolerant computing. Further work is needed to evaluate the potential of this new paradigm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|