Name
Abstract | ||
|---|---|---|
A technique is presented to allow both inhibition and excitation weights to take place on the same input lines of pulse coded neural processing element (NPE). This is achieved by using different ranges of pulse duty cycles for excitation and inhibition. The pulse coded NPE contains blocks of neural type cells (NTC), a summation, a nonlinear threshold logic, and a learning block for adaptive weight feedback. Modifications on the neural-type cell are presented to achieve this as well as wider oscillation ranges. Simulation results verify the functions for each block. The results allow for adapting weights through sign changes leading to more flexibility in design and less power consumption. Along with its functional block-based structure, the NPE, as an artificial neuron, can be applied in many different configurations of neural networks. A layout for a configuration for a winner-take-all network was carried out and sent to MOSIS for IC fabrication |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/ISCAS.1993.394339 | ISCAS |
Keywords | Field | DocType |
ic fabrication,learning block,power consumption,sign changes,pulse coded element,pulse code modulation,pulse coded weights,learning (artificial intelligence),adaptive weight feedback,threshold logic,pulse duty cycles,artificial neuron,inhibition weights,oscillation ranges,excitation weights,neural processing element,winner-take-all network,recurrent neural nets,neural chips,nonlinear threshold logic | Pulse-code modulation,Oscillation,Nonlinear system,Computer science,Artificial neuron,Voltage,Pulse-width modulation,Pulse (signal processing),Electronic engineering,Artificial neural network | Conference |
ISBN | Citations | PageRank |
0-7803-1281-3 | 2 | 0.89 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moon, G. | 1 | 2 | 0.89 |
| Mona E. Zaghloul | 2 | 73 | 19.65 |
| Robert W. Newcomb | 3 | 10 | 3.30 |