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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Digital implementation of a multilayer perception based on stochastic computing with learning function
| Title: | Digital implementation of a multilayer perception based on stochastic computing with learning function |
| Authors: | Sasaki, Yoshiaki Browse this author | | Muramatsu, Seiya Browse this author | | Nishida, Kohei Browse this author | | Akai-Kasaya, Megumi Browse this author →KAKEN DB | | Asai, Tetsuya Browse this author →KAKEN DB |
| Keywords: | stochastic computing | | machine learning | | neural networks | | edge AI integrated circuit |
| Issue Date: | 2022 |
| Publisher: | IEICE - Institute of the Electronics, Information and Communication Engineers |
| Journal Title: | Nonlinear theory and its applications, IEICE |
| Volume: | 13 |
| Issue: | 2 |
| Start Page: | 324 |
| End Page: | 329 |
| Publisher DOI: | 10.1587/nolta.13.324 |
| Abstract: | Stochastic Computing (SC) [2] is a probability-based computing method, which enables the performance of various operations with a small number of logic gates (i.e., low power) in exchange for high accuracy. Using SC for edge artificial intelligence (AI) integrated circuits can help circumvent the limitations inherent in the power and area required for edge AI. In this study, a three-layered Neural Network (NN) is presented with an online learning function that introduces pseudo-activation, pseudo-subtraction, and imperfect addition into the SC framework. This method may expand the options for edge AI integrated circuits using SC. |
| Rights: | Copyright ©2022 The Institute of Electronics, Information and Communication Engineers |
| Type: | article |
| URI: | http://hdl.handle.net/2115/85558 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 浅井 哲也
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