A novel auto-weighting deep-learning fuzzy collaborative intelligence approach-Reference-Cited by-同舟云学术

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A novel auto-weighting deep-learning fuzzy collaborative intelligence approach

Published:2023-03 Issue: Volume:6 Page:100186
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Wang Yu-Cheng^ORCID,Chen Tin-Chih Toly,Wu Hsin-Chieh

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference45 articles.

1. S. Shiratake, Scaling and performance challenges of future DRAM, in: 2020 IEEE International Memory Workshop, 2020, pp. 1–3.

2. An analytical model for performance and lifetime estimation of hybrid DRAM-NVM main memories;Salkhordeh;IEEE Trans. Comput.,2019

3. Applying the hybrid fuzzy c-means-back propagation network approach to forecast the effective cost per die of a semiconductor product;Chen;Comput. Ind. Eng.,2011

4. S. Cha, O. Seongil, H. Shin, S. Hwang, K. Park, S.J. Jang, J.S. Choi, G.Y. Jin, Y.H. Son, H. Cho, J.H. Ahn, N.S. Kim, Defect analysis and cost-effective resilience architecture for future DRAM devices, in: IEEE International Symposium on High Performance Computer Architecture, 2017, pp. 61–72.

5. An improved fuzzy collaborative system for predicting the unit cost of a DRAM product;Chen;Int. J. Intell. Syst.,2015

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