|
1
|
Dutta D, Upreti SR. Artificial intelligence‐based process control in chemical, biochemical, and biomedical engineering. CAN J CHEM ENG 2021. [DOI: 10.1002/cjce.24246] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Debaprasad Dutta
- Department of Chemical Engineering Ryerson University Toronto Ontario Canada
| | - Simant R. Upreti
- Department of Chemical Engineering Ryerson University Toronto Ontario Canada
| |
Collapse
|
|
2
|
Hu SG, Liu Y, Liu Z, Chen TP, Wang JJ, Yu Q, Deng LJ, Yin Y, Hosaka S. Associative memory realized by a reconfigurable memristive Hopfield neural network. Nat Commun 2015; 6:7522. [PMID: 26108993 DOI: 10.1038/ncomms8522] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2014] [Accepted: 05/15/2015] [Indexed: 11/09/2022] Open
Abstract
Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield network. Different patterns can be stored into the memristive Hopfield network by tuning the resistance of the memristors, and the pre-stored patterns can be successfully retrieved directly or through some associative intermediate states, being analogous to the associative memory behaviour. Both single-associative memory and multi-associative memories can be realized with the memristive Hopfield network.
Collapse
Affiliation(s)
- S G Hu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Y Liu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Z Liu
- School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China
| | - T P Chen
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - J J Wang
- State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Q Yu
- State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - L J Deng
- State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Y Yin
- Graduate School of Engineering, Gunma University, 1-5-1Tenjin, Kiryu, Gunma 376-8515, Japan
| | - Sumio Hosaka
- Graduate School of Engineering, Gunma University, 1-5-1Tenjin, Kiryu, Gunma 376-8515, Japan
| |
Collapse
|
|
3
|
Hosen MA, Hussain MA, Mjalli FS. Hybrid modelling and kinetic estimation for polystyrene batch reactor using Artificial Neutral Network (ANN) approach. ASIA-PAC J CHEM ENG 2011. [DOI: 10.1002/apj.435] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
|
4
|
Neural network application in predicting advanced manufacturing technology implementation performance. Neural Comput Appl 2010. [DOI: 10.1007/s00521-010-0507-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|