Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude from fuzzy inference systems (FIS). This study provides a comprehensive review of DNFS dividing it into two essential ...
Fuzzy systems (FSs) are popular and interpretable machine learning methods, represented by the adaptive neuro-fuzzy inference system (ANFIS). However, they have difficulty dealing with high-dimensional data due to the curse of dimensionality. To effectively handle high-dimensional data and ensure optim...
Gaber M, El-Banna S, El-Dabah M, Hamad M (2021) Designing and implementation of an intelligent energy management system for electric ship power system based on adaptive neuro-fuzzy inference system (ANFIS). Adv Sci Technol Eng Syst J 6:195–203 Article Google Scholar Ganjian M, Farahaba...
which is composed of controller named as Adaptive Neuro Fuzzy Inference System (ANFIS), to achieve short-term stock price trend prediction. The noticeable strength of this work is the evaluation part. Not only did they compare their proposed system with the popular data models, but also compared...
In addition, the heart rate variability (HRV) derived from an ECG is regulated by the central nervous and autonomic systems, and closely related to the DoA during surgery [18,19,20]. Therefore, HRV may be used as an important supplementary method of EEG monitoring in terms of DoA ...
Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide. Geomatics Nat. Hazards Risk 10 (1), 1879-1911. [46] Moayedi, H., Tien Bui, D., Gör, M., Pradhan, B., Jaafari, A., ...
Dayron Cohen, in Neurocomputing, 2023 7.3.6 Convolutional neural networks Convolutional Neural Networks (CNNs) are widely recognized deep learning architectures known for their exceptional performance across various applications. In the CNN architecture, multiple stacks of convolutional layers are followed ...
Movie Recommendation System Based on Fuzzy Inference System and Adaptive Neuro Fuzzy Inference System In this paper, we propose a framework of multi-genre movie recommender system based on neuro-fuzzy decision tree (NFDT) methodology. The system is capable ... ECE Department,NS University,Dhaka,....
To resolve such pitfalls, the current work proposes FW-GWO (Fire Work-Grey Wolf Optimization) to select relevant features, while, ANFIS (Adaptive Neuro-Fuzzy Inference System) is used for classification. The study focusses on three kinds of fraud datasets namely loan dataset, credit card dataset...
Fuzzy logic systems (FLS), composed of IF-THEN rules with linguistic terms mimicking human thought [25], is one of the research areas that contemplates the XAI principles. FLS has a wide range of approaches to nonlinear systems, primarily in terms of interpretability, whether related to the co...