Fuzzy C-means long short-term memory (FCMLSTM) with application in exchange-traded funds (ETFs) by Siek, Ming Kang

“…To address this issue, many have investigated into fuzzy neural networks which combines the interpretability of fuzzy system and performance of neural networks. …”
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Fault Detection, Classification and Localization Along the Power Grid Line Using Optimized Machine Learning Algorithms by Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Taher Abedinzade

“…Therefore, this paper proposes new methods using fuzzy logic and adaptive fuzzy neural networks as well as machine learning and meta-heuristic algorithms. …”
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VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network by Hu Zhang, Yujia Liao, Chang Zhu, Wei Meng, Quan Liu, Sheng Q. Xie

“…Previous studies have introduced a rehabilitation assessment method based on fuzzy neural networks. This paper proposes a novel approach, which is a VR-aided ankle rehabilitation decision-making model based on a convolutional gated recurrent neural network. …”
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Electricity price forecasting using ensemble neural networks by Nainan Abhay George

“…This family of models consists of feed-forward, recurrent(RNN), and fuzzy neural networks. Since these forecasting models are non-linear and can train on sequences of input vectors, they learn more complex functions and predict more accurately than multi-agent, supply-demand, and statistical family of models. …”
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Outpatient diagnosis of endogenous intoxication in surgery by A. A. Solomakha, A. P. Vlasov, V. I. Gorbachenko

“…Statistical, neural network and algorithms with elements of fuzzy neural networks were used on a sample consisting of hematological parameters of 274 patients with chronic kidney disease and healthy ones based on 25 laboratory parameters. …”
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Towards aerial robotic workers : design, control and guidance for unmanned aerial manipulators by Imanberdiyev, Nursultan

“…Secondly, we present a learning-based intelligent control approach, the fusion of artificial neural networks and type-2 fuzzy logic controllers, namely type-2 fuzzy neural networks, for the control of UAMs under time-varying working conditions. …”
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