Development of a Simulator for RBF-Based Networks on Neuromorphic Chips


KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 11, pp. 251-262, Nov. 2019
https://doi.org/10.3745/KTCCS.2019.8.11.251, Full Text:
Keywords: Radial Basis Functions, Simulator, Neuromorphic Chip, Drowsy Detection
Abstract

In this paper, we propose a simulator that provides various algorithms of RBF networks on neuromorphic chips. To develop algorithms based on neuromorphic chips, the disadvantages of using simulators are that it is difficult to test various types of algorithms, although time is fast. This proposed simulator can simulate four times more types of network architecture than existing simulators, and it provides an additional a two-layer structure algorithm in particular, unlike RBF networks provided by existing simulators. This two-layer architecture algorithm is configured to be utilized for multiple input data and compared to the existing RBF for performance analysis and validation of utilization. The analysis showed that the two-layer structure algorithm was more accurate than the existing RBF networks.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
L. Yeowool, S. Keyongeun, C. Daewoong, K. Jaejin, L. Sangyub, L. Jaekyu and C. Heyonjoong, "Development of a Simulator for RBF-Based Networks on Neuromorphic Chips," KIPS Transactions on Computer and Communication Systems, vol. 8, no. 11, pp. 251-262, 2019. DOI: https://doi.org/10.3745/KTCCS.2019.8.11.251.

[ACM Style]
Lee Yeowool, Seo Keyongeun, Choi Daewoong, Ko Jaejin, Lee Sangyub, Lee Jaekyu, and Cho Heyonjoong. 2019. Development of a Simulator for RBF-Based Networks on Neuromorphic Chips. KIPS Transactions on Computer and Communication Systems, 8, 11, (2019), 251-262. DOI: https://doi.org/10.3745/KTCCS.2019.8.11.251.