Dec 23, 2013 · Abstract: We propose a new class of neurofuzzy construction algorithms with the aim of maximizing generalization capability specifically for ...
We propose a new class of neurofuzzy construction algorithms with the aim of maximizing generalization capability specifically for imbalanced data ...
Abstract—We propose a new class of neurofuzzy construction algorithms with the aim of maximizing generalization capability specifically for imbalanced data ...
We propose a new class of neurofuzzy construction algorithms with the aim of maximizing generalization capability specifically for imbalanced data ...
Ming Gao, Xia Hong, Chris J. Harris : Construction of Neurofuzzy Models For Imbalanced Data Classification. IEEE Trans. Fuzzy Syst. 22(6): 1472-1488 (2014).
This paper introduces three stochastic and metaheuristic algorithms for training the Multilayer Perceptron (MLP) neural network to solve the problem of ...
Missing: Construction | Show results with:Construction
In this study we propose a DDFM to tackle the challenge of a two-class imbalanced case study for rail quality. We integrate a number of machine learning methods ...
In this paper, we provide an in-depth review of popular methods for imbalanced databases related to patterns and fuzzy approaches.
May 23, 2022 · In this work, we have developed a novel classification framework for imbalanced data under a longitudinal and high‐dimensional structure.
Jan 21, 2022 · In this paper, a novel imbalance classification method based on deep learning and fuzzy support vector machine is proposed and named as DFSVM.
Missing: Neurofuzzy | Show results with:Neurofuzzy