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An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose

  • Published:2017-04 Issue:4 Volume:28 Page:961-974
  • ISSN:2162-237X
  • Container-title:IEEE Transactions on Neural Networks and Learning Systems
  • language:
  • Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Jen-Huo,Tang Chen-Ting,Chen Hsin

Funder

Ministry of Science and Technology, Taiwan

National Chip Implementation Center, Taiwan, for the Chip Fabrication

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

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2. Real-Time Gas Composition Identification and Concentration Estimation Model for Artificial Olfaction;IEEE Transactions on Industrial Electronics;2023

3. Gas Recognition in E-Nose System: A Review;IEEE Transactions on Biomedical Circuits and Systems;2022-04

4. A novel adaptive learning deep belief network based on automatic growing and pruning algorithms;Applied Soft Computing;2021-06

5. A Novel Gas Recognition and Concentration Detection Algorithm for Artificial Olfaction;IEEE Transactions on Instrumentation and Measurement;2021
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