Neuro-fuzzy modeling of deformation parameters for fusion-barriers
Sign Up to like & getrecommendations! Published in 2020 at "Nuclear Engineering and Technology"
DOI: 10.1016/j.net.2020.10.017
Abstract: Abstract The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction are deformed,… read more here.
Keywords: neuro fuzzy; deformation; deformation parameters; fuzzy modeling ... See more keywords
A New Fuzzy Modeling Framework for Integrated Risk Prognosis and Therapy of Bladder Cancer Patients
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2017.2735939
Abstract: This paper presents a new fuzzy modeling approach for analyzing censored survival data and finding risk groups of patients diagnosed with bladder cancer. The proposed framework involves a new procedure for integrating the frameworks of… read more here.
Keywords: bladder cancer; risk; framework; modeling framework ... See more keywords
A Dirichlet Process Based Type-1 and Type-2 Fuzzy Modeling for Systematic Confidence Bands Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2892347
Abstract: This paper presents a new methodology for fuzzy logic systems modeling based on the Dirichlet process Gaussian mixture models (DPGMM). The proposed method simultaneously allows for the systematic elicitation of confidence bands as well as… read more here.
Keywords: confidence bands; systematic confidence; dirichlet process; confidence ... See more keywords
A New Rule Reduction Method for Fuzzy Modeling
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2947225
Abstract: The Takagi–Sugeno fuzzy model (T–S fuzzy model) has been successfully applied to a wide range of problems due to its accurate modeling ability. However, its rule redundancy and dimension disaster remain an open and unsolved… read more here.
Keywords: method; model; rule; fuzzy modeling ... See more keywords
Passivity-Based Adaptive Fuzzy Control for Stochastic Nonlinear Switched Systems via T–S Fuzzy Modeling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3195645
Abstract: In this note, state-estimator-based adaptive control is under consideration for a sort of nonlinear stochastic switched systems by Takagi–Sugeno (T–S) fuzzy modeling and sliding mode technique. A new fuzzy sliding surface is established by a… read more here.
Keywords: switched systems; fuzzy modeling; passivity; control ... See more keywords
Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2812156
Abstract: Fuzzy modeling has many advantages over nonfuzzy methods, such as robustness with respect to uncertainties and less sensitivity to the varying dynamics of nonlinear systems. Data-driven fuzzy modeling needs to extract fuzzy rules from input… read more here.
Keywords: probability theory; probability; fuzzy modeling; data driven ... See more keywords
Screening for Combination Cancer Therapies With Dynamic Fuzzy Modeling and Multi-Objective Optimization
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.617935
Abstract: Combination therapies proved to be a valuable strategy in the fight against cancer, thanks to their increased efficacy in inducing tumor cell death and in reducing tumor growth, metastatic potential, and the risk of developing… read more here.
Keywords: combination; modeling multi; multi objective; cancer ... See more keywords