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 conditions like drug rash. This research introduces an innovative approach by integrating prominent...
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), ...
Still in the field of artificial intelligence, we observe the application of neuro-fuzzy [11], that refers to combinations of artificial neural networks and fuzzy logic for wind prediction. In the area of sequential data modelling, the transformer model with self-attention mechanism [12] is ...
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...
although the examples shown here had radiological changes detectable with T2-weighted sequences, the method could potentially be extended to cases of MRI-negative partial epilepsy increasing the diagnostic yield. Patient 1 is a young adult female with seizures described as a fuzzy painful sensation ...
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...
Non-Intrusive Load Monitoring by Novel Neuro-Fuzzy Classification Considering Uncertainties In contrast with a centralized Home Energy Management System, a Non-intrusive Load Monitoring (NILM) system as an energy audit identifies power-intensive h... Lin, Y.-H.,Tsai, M.-S. - 《IEEE Transactions...