Deep neuro-fuzzy systemFuzzy-UNetInception modelXGBoost classifierLyme disease, caused by a bacterium transmitted through the bite of an infected tick, is often misdiagnosed due to its similarity to other condi
The basic configuration of a fuzzy logic system, shown in Fig.1, depends on an interface that transforms the real input variables into fuzzy sets (fuzzifier), which are interpreted by a fuzzy inference model to perform an input–output mapping based on fuzzy rules. Thus, the mapped fuzzy ou...
The intelligent systems and/or machine learning tools such as ANN, LS-SVM, functional network (FN), generic algorithm (GA), imperialist competitive algorithm (ICA), fuzzy decision tree (FDT), fuzzy logic (FL), particle swarm optimization (PSO), adaptive neuro-fuzzy inference system (ANFIS), ...
(2021) attempted to solve the issue of typical offline neuro-fuzzy systems needing training data to fully reflect all system behaviors, which may be challenging owing to dramatic swings in data distributions. The authors developed a unique technique that combines a neuro-fuzzy system with the ...
www.nature.com/scientificreports OPEN A hybrid interpretable deep structure based on adaptive neuro‑fuzzy inference system, decision tree, and K‑means for intrusion detection Jia Liu 1,2, Wang Yinchai 1*, Teh Chee Siong 3, Xinjin Li 2, Liping Zhao 2,4...
Dashtipour, K.et al.A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks.Neurocomputing.380, 1–10.https://doi.org/10.1016/j.neucom.2019.10.009(2020). ArticleGoogle Scholar Aziz, R., Anwar, M. W., Jamal, M. H. & Bajwa, U....
Deep Learning with Relational Logic Representations(2022) A book providing full context for the framework, based on my (freely available)dissertation thesis Lifted Relational Neural Networks: From Graphs to Deep Relational Learning(2023) A book chapter about the framework in theCompendium of Neurosymbol...
Adaptive control of time delay teleoperation system with uncertain dynamics. Front. Neurorobot. 2022, 16, 152. [Google Scholar] [CrossRef] [PubMed] Lu, H.; Zhang, M.; Xu, X.; Li, Y.; Shen, H.T. Deep Fuzzy Hashing Network for Efficient Image Retrieval. IEEE Trans. Fuzzy Syst. ...
In [11], a neural fuzzy system with a hybrid learning algorithm is proposed, in which supervised learning is used to determine the input and output membership functions, and an RL algorithm is used to finetune the output membership functions. The main advantage of this hybrid approach is that...
5. Future Outlook: Neuro-Symbolic Integration and AI Middleware Looking ahead, the evolution of neuro-symbolic systems is poised to play a central role in pushing reasoning AI to the next level. Purely neural LLMs, even very large ones, still struggle with certain types of systematic reasoning...