fuzzy signalsfuzzy weights/ C1230D Neural nets C1160 Combinatorial mathematics C1240 Adaptive system theoryIn this paper a fuzzy neural network will be a layered, feedforward, neural net that has fuzzy signals and/or fuzzy weights. We survey recent results on learning algorithms and applications ...
[8] S. P. Singh, A. Kumar, H. Darbari, L. Singh, A. Rastogi, and S.Jain, “Machine translation using deep learning: An overview,” in Proceedings of the 1st International Conference on Computer, Communications and Electronics, COMPTELIX 2017, pp. 162–167, India, July 2017. [9] T...
3.4. Deep Neural Network Based on Fuzzy Wavelet The fuzzy DNFW’s rules had the general structure: 𝑅𝑘:IF 𝑥1 is 𝐴𝑘1… AND 𝑥𝑛 is 𝐴𝑘𝑛THEN 𝑌𝑘=∑𝑖=1𝑁𝑘𝑤𝑘𝑖𝛹𝑘𝑖+𝑦̲𝑘 Rk:IF x1 is Ak1… AND xn is AknTHEN Yk=∑i=1NkwikΨik...
White, Paul Thomas, Bhaskar Mitra, Shawon Sarkar, Nicholas J. Belkin Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI 2021 paper bib He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine Interpretability and Analysis of Models for NLP A Primer in BERTology: ...
Long short-term memory recurrent neural network for modeling temporal patterns in long-term power forecasting for solar PV facilities: Case study of South Korea J. Clean. Prod. (2020) BoseM.et al. Designing fuzzy time series forecasting models: A survey ...
In this paper, we offer a review of type-3 fuzzy logic systems and their applications in control. The main objective of this work is to observe and analyze in detail the applications in the control area using type-3 fuzzy logic systems. In this case, we
A Survey of Neural Networks and Formal Languages. arXiv 2020 paper bib Joshua Ackerman, George Cybenko A Survey of the Usages of Deep Learning in Natural Language Processing. IEEE 2018 paper bib Daniel W. Otter, Julian R. Medina, Jugal K. Kalita A Survey on Contextual Embeddings. arXiv 202...
Building a reliable and precise model for disease classification and identifying abnormal sites can provide physicians assistance in their decision-making process. Deep learning based image analysis is a promising technique for enriching the decision mak
或者考虑节点特征基于模糊直方图(fuzzy histograms)的分布情况。 或者用全连接层(FC layer)来作为最后的输出。但是节点的顺序可能会影响到输出的结果。 层次聚类 待补充 添加顺序 PATCHY-SAN,SortPooling 给graph的节点添加顺序,再用1d的CNN进行卷积。 MPNN
A survey on deep transfer learning International conference on artificial neural networks, Springer (2018), pp. 270-279 CrossrefView in ScopusGoogle Scholar [15] D.S.W. Ting, L. Carin, V. Dzau, T.Y. Wong Digital technology and covid-19 Nature Med. (2020), pp. 1-3 View in Scopus...