Suchergebnisse - fuzzy supervised learning algorithm

A supervised fuzzy measure learning algorithm for combining classifiers von Uriz, Mikel, Paternain, Daniel, Bustince, Humberto, Galar, Mikel

“… •A new supervised fuzzy measure learning algorithm is proposed for combining classifiers …”
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Combining Supervised and Unsupervised Fuzzy Learning Algorithms for Robust Diabetes Diagnosis von Kim, Kwang Baek, Park, Hyun Jun, Song, Doo Heon

“… In domains that have complex data characteristics and/or noisy data, any single supervised learning algorithm tends to suffer from overfitting …”
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Enhancing fuzzy cognitive map convergence through supervised and unsupervised learning algorithms: A case study of operational risk assessment in power distribution networks von Baghemoortini, Elham Fallah, Shishebori, Davood, Jahangoshai Rezaee, Mustafa, Jabbarzadeh, Armin

“… To address this issue, the current study proposes a novel approach that integrates advanced supervised and unsupervised learning algorithms …”
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Supervised Learning of Multievent Transition Matrices in Fuzzy Discrete-Event Systems von Lin, Feng, Ying, Hao

“… In this article, supervised learning of fuzzy discrete-event systems (FDES) is investigated. A learning algorithm that performs supervised learning for multievent transition matrices of a sequence of fuzzy discrete events is derived …”
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Supervised Learning of Fuzzy Sets for Fuzzy Markov Chains von Ying, Hao, Lin, Feng

“… This advancement is built upon the theory of stochastic fuzzy discrete event systems (SFDESs) and the supervised learning algorithm for FDESs, previously published by the authors …”
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An automatic inversion tool for geoelectrical resistivity data using supervised learning algorithm of adaptive neuro fuzzy inference system (ANFIS) von Stanley Raj, A., Oliver, D. Hudson, Srinivas, Y.

“… In the present study, ANFIS algorithm was applied in direct inversion approach and the most prominent of this approach is supervised learning techniques adapted in the algorithm specially …”
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Supervised fuzzy reinforcement learning for robot navigation von Fathinezhad, Fatemeh, Derhami, Vali, Rezaeian, Mehdi

“… •Supervised learning is used for initialization of value (worth) of each candidate action of fuzzy rules in critic-only based FRL algorithms …”
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A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance von Cang Ye, Yung, N.H.C., Danwei Wang

“… A reinforcement learning method is capable of learning the fuzzy rules automatically. However, it incurs a heavy learning phase and may result in an insufficiently learned rule base due to the curse of dimensionality …”
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Application of Semi-supervised Fuzzy Clustering Based on Knowledge Weighting and Cluster Center Learning to Mammary Molybdenum Target Image Segmentation von Peng, Peng, Wu, Danping, Huang, Li-Jun, Wang, Jianqiang, Zhang, Li, Wu, Yue, Jiang, Yizhang, Lu, Zhihua, Lai, Khin Wee, Xia, Kaijian

“… Traditional unsupervised clustering algorithms have limited learning knowledge. Moreover, some semi-supervised fuzzy clustering algorithms cannot fully mine the information of labeled samples, which results in insufficient supervision …”
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Discrete-Time Finite Fuzzy Markov Chains Realized Through Supervised Learning Stochastic Fuzzy Discrete Event Systems von Ying, Hao, Lin, Feng

“… ) and the supervised learning algorithm for fuzzy discrete event systems (FDES), recently published by the authors …”
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A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI von Nisha, M, Kannan, T, Sivasankari, K

“… by learning the distribution much more quickly by the semi-supervised …”
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Modeling Soil Temperature with Fuzzy Logic and Supervised Learning Methods von Cemek, Bilal, Kültürel, Yunus, Cemek, Emirhan, Küçüktopçu, Erdem, Simsek, Halis

“… ) supervised machine learning algorithms, such as multilayer perceptron (MLP), support vector regression (SVR), random forest (RF …”
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A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis von Song, Xiaoning, Liu, Zi, Yang, Xibei, Yang, Jingyu

“… In this paper, we develop a novel fuzzy supervised learning algorithm based on the dynamical parameter estimation …”
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Learning Fuzzy Automaton's Event Transition Matrix When Post-Event State Is Unknown von Ying, Hao, Lin, Feng

“… systems as fuzzy automata with ambiguous state and event-invoked state transition. In two recent papers, we developed algorithms for online-supervised learning …”
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Optimisation of an old 200 MW coal-fired boiler with urea injection through the use of supervised machine learning algorithms to achieve cleaner power generation von Strušnik, Dušan, Agrež, Marko, Avsec, Jurij, Golob, Marjan

“…  mg/m3, we created supervised machine learning algorithms. The supervised …”
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Supervised learning in fuzzy systems: Algorithms and computational capabilities von Jou, C.-C.

“… demonstrate that the model structures and supervised learning algorithms suggested for fuzzy systems are practically feasible.< > …”
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A Hybrid Fuzzy Semi-supervised Learning Algorithm for Face Recognition von Xiaoning Song, Zi Liu

“… In this paper, we develop a hybrid fuzzy semi supervised learning algorithm (HFSA) for face recognition, which is based on the segregation of distinctive regions that include outlier instances and its counterparts …”
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Improved Fuzzy Single Layer Supervised Learning Algorithm von Jong-chan Kim, Kyeong-jin Ban, Eung-kon Kim, Yang-sun Lee, An-Suk Oh

“… We propose an enhanced fuzzy single layer perceptron which reduces the learning time introducing the rate of learning and the concept of momentum …”
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Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System von Alhasa, Kemal Maulana, Mohd Nadzir, Mohd Shahrul, Olalekan, Popoola, Latif, Mohd Talib, Yusup, Yusri, Iqbal Faruque, Mohammad Rashed, Ahamad, Fatimah, Abd. Hamid, Haris Hafizal, Aiyub, Kadaruddin, Md Ali, Sawal Hamid, Khan, Md Firoz, Abu Samah, Azizan, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku Mohd Farid, Ezani, Nor Eliani

“… Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality …”
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Fuzzy SLIQ Decision Tree Algorithm von Chandra, B., Varghese, P.P.

“… A fuzzy supervised learning in Quest (SLIQ) decision tree (FS-DT) algorithm is proposed in this paper …”
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