Results 181 to 190 of about 31,665 (232)
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Generalization of adaptive neuro-fuzzy inference systems
IEEE Transactions on Neural Networks, 2000The paper aims at several objectives. The adaptive network-based fuzzy inference systems (ANFIS) of Jang is extended to the generalized ANFIS (GANFIS) by proposing a generalized fuzzy model (GFM) and considering a generalized radial basis function (GRBF) network.
Mohammad Fazle Azeem +2 more
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Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System
Journal of Electronic Testing, 2021Software quality has become a key aspect of any electronic system. In this respect, software reliability is an important quality characteristic and there are many models that aim to estimate the reliability from different perspectives. However, there are no industry established reliability models.
Milos Milovancevic +4 more
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International Journal of Fuzzy System Applications, 2015
One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Md Mahfuzur Rahman Siddiquee +2 more
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One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the improvement in recommendation of movies using Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy Inference System (ANFIS).
Md Mahfuzur Rahman Siddiquee +2 more
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FANCFIS: Fast adaptive neuro-complex fuzzy inference system
International Journal of Approximate Reasoning, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Omolbanin Yazdanbakhsh, Scott Dick
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Nonlinear system modeling with dynamic adaptive neuro-fuzzy inference system
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of Gaussian type membership functions and THEN part of the rules are differential equations of linear functions.
Sevcan Yilmaz, Yusuf Oysal
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Improved adaptive neuro-fuzzy inference system
Neural Computing and Applications, 2011This paper introduces a new type of Adaptive Neuro-fuzzy System, denoted as IANFIS (Improved Adaptive Neuro-fuszzy Inference System). The new structure is realized by the insertion of the error of training of ANFIS in the third layer of this system. The recurrence of the error of training will increase the capability of convergence and the robustness ...
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Adaptive Neuro-Fuzzy Inference System in Agriculture
2020This chapter emphasizes the use of adaptive fuzzy inference system (ANFIS) in agriculture. An overview of the basic concepts of ANFIS is provided at the beginning, where the underlying architecture of ANFIS is also discussed. The introduction is followed by the second section which highlights the diverse applications of ANFIS in agriculture during ...
K. Aditya Shastry, null Sanjay H. A.
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An adaptive neuro fuzzy inference system for prediction of anxiety of students
2016 Eighth International Conference on Advanced Computational Intelligence (ICACI), 2016In this paper authors propose design methodology and application of Adaptive Neuro-Fuzzy Inference System (ANFIS) in prediction of anxiety of students using hybrid learning algorithm to improve the prediction based on the conventional model using questioner.
Satwanti Devi +2 more
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Self-adaptive neuro-fuzzy inference systems for classification applications
IEEE Transactions on Fuzzy Systems, 2002This paper presents a self-adaptive neuro-fuzzy inference system (SANFIS) that is capable of self-adapting and self-organizing its internal structure to acquire a parsimonious rule-base for interpreting the embedded knowledge of a system from the given training data set.
Jeen-Shing Wang, C. S. George Lee
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Adaptive Neuro-Fuzzy Inference System for Classification of Texts
2018In this work, we applied Adaptive Neuro-Fuzzy Inference System to three different classification problems: (1) sentence-level subjectivity detection, (2) sentiment analysis of texts, and (3) detecting user intention in natural language call routing system.
Kamil R. Aida-zade +3 more
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