Suchergebnisse - subtractive fuzzy clustering algorithm

Lithofacies discrimination of the Ordovician unconventional gas-bearing tight sandstone reservoirs using a subtractive fuzzy clustering algorithm applied on the well log data: Illizi Basin, the Algerian Sahara von Cherana, Amina, Aliouane, Leila, Doghmane, Mohamed Z., Ouadfeul, Sid-Ali, Nabawy, Bassem S.

“… The main objective of this paper is to prove the capability of the fuzzy clustering algorithm for discriminating between lithofacies that are derived from the borehole log data of Ordovician tight …”
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An adaptive RBF neural network–based multi-objective optimization method for lightweight and crashworthiness design of cab floor rails using fuzzy subtractive clustering algorithm von Wang, Dengfeng, Xie, Chong, Wang, Shuang

“… ) method integrating RBF neural network model, fuzzy subtractive clustering (FSC) sequence sampling method and non-dominated sorting genetic algorithm (NSGA-II) is proposed …”
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Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network von Feng, Shaochong, Di, Yanqiang, Zhu, Yuanchang, Chen, Zhijia

“… For this purpose, this paper proposes a self-adaptive prediction method using ensemble model and subtractive-fuzzy clustering based fuzzy neural network (ESFCFNN …”
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Iot based Agriculture Drought Prediction using Chaotic Genetic Algorithm Integrated Intuitionist Fuzzy Subtractive Clustering von Margaret, M. Rose, Pavithra, Dr. L.

“… The exponential demand in usage of internet of Things (IoT) devices, there is a vast effective improvement in commination among different things. Especially in …”
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Fuzzy ruling between core porosity and petrophysical logs: Subtractive clustering vs. genetic algorithm–pattern search von Bagheripour, Parisa, Asoodeh, Mojtaba

“… Therefore, an intelligent system can explicate this information. Fuzzy logic is a powerful tool for handling geosciences problem which is associated with uncertainty …”
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Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm von Zeng, Shouzhen, Chen, Shyi-Ming, Teng, Mario Orlando

“… In this paper, we propose a new clustering-based fuzzy time series (FTS) forecasting method based on linear combinations of independent variables, the subtractive clustering algorithm and the artificial bee colony (ABC) algorithm …”
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A fuzzy clustering method using Genetic Algorithm and Fuzzy Subtractive Clustering von Le, Thanh, Altman, Tom, Gardiner, Katheleen J

“… In this study, we combine FCM with Genetic Algorithm (GA), Subtractive Clustering (SC) and Bayesian cluster validation for a novel clustering method, fzGASCE …”
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Novel robust approach for constructing Mamdani-type fuzzy system based on PRM and subtractive clustering algorithm von Chu, Fei, Ma, Xiao-ping, Wang, Fu-li, Jia, Run-da

“… (partial robust M-regression, PRM) in the parameter learning phase of the initial fuzzy system, and an improved subtractive clustering algorithm in the fuzzy-rule-selecting phase …”
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Penentuan Lokasi SMP Baru di Kabupaten Klungkung dengan Algoritma Fuzzy Subtractive Clustering von I Gede Oka Artawan, G.K. Gandhiadi, Tjokorda Bagus Oka

“… The aim of this paper is to determine a new location of junior high school at Klungkung, using Fuzzy Subtractive Clustering Algorithm …”
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OPTIMIZING ENERGY CONSUMPTION IN VEHICULAR SENSOR NETWORKS BY CLUSTERING USING FUZZY C-MEANS AND FUZZY SUBTRACTIVE ALGORITHMS von Ebrahimi, A., Pahlavani, P., Masoumi, Z.

“… ); moreover, it is the most important feature in designing these networks. Clustering the sensor nodes is considered as an effective solution to reduce the energy consumption of WSNs …”
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A new initialization method for the Fuzzy C-Means Algorithm using Fuzzy Subtractive Clustering von Le, Thanh, Altman, Tom

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Application of ANFIS-based subtractive clustering algorithm in soil Cation Exchange Capacity estimation using soil and remotely sensed data von Keshavarzi, Ali, Sarmadian, Fereydoon, Shiri, Jalal, Iqbal, Munawar, Tirado-Corbalá, Rebecca, Omran, El-Sayed Ewis

“… )-based subtractive clustering algorithm with different inputs combinations as well as sequential regression models for simulation of variations in soil CEC …”
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A clustering procedure for reducing the number of representative solutions in the Pareto Front of multiobjective optimization problems von Zio, E., Bazzo, R.

“… In many multiobjective optimization problems, the Pareto Fronts and Sets contain a large number of solutions and this makes it difficult for the decision maker …”
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Clustering: A neural network approach von Du, K.-L.

“… ), the learning vector quantization (LVQ), the neural gas, and the ART model, and clustering algorithms such as the …”
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Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach von Jia, Guangyu, Lam, Hak-Keung, Ma, Shichao, Yang, Zhaohui, Xu, Yujia, Xiao, Bo

“… To lessen the difficulty of classification, clustering methods including subtractive clustering and fuzzy c-means (FCM …”
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A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base von Li, Gailing, Zhou, Zhijie, Hu, Changhua, Chang, Leilei, Zhou, Zhiguo, Zhao, Fujun

“… •Optimizing the referenced values by the fuzzy subtractive clustering algorithm.•Calculating the belief degrees by the modified fuzzy c-means clustering algorithm …”
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Analisis Kinerja Fuzzy C-Means (FCM) dan Fuzzy Subtractive (FS) dalam Clustering Data Alumni STMIK STIKOM Indonesia von Supartha, I Kadek Dwi Gandika, Iskandar, Adi Panca Saputra

“… ) index, the Fuzzy C-Means Clustering algorithm has a higher level of validity than the Fuzzy Subtractive Clustering algorithm so it can be said that the Fuzzy C-Means algorithm …”
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Interpretability-based fuzzy decision tree classifier a hybrid of the subtractive clustering and the multi-objective evolutionary algorithm von Afsari, F., Eftekhari, M., Eslami, E., Woo, P.-Y.

“… In this study, the subtractive clustering and a multi - objective evolutionary algorithm are used to develop a novel fuzzy modeling scheme based on the FDT classifier to construct an accurate …”
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A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation von Hossen, J., Sayeed, S., Iqbal, A.K.M. Parvez

“… ) and formed a minimal numbers of rules using hybrid fuzzy clustering algorithm (Combination of Fuzzy C-means and Subtractive clustering algorithm …”
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Subtractive Clustering Fuzzy Expert System for Engineering Applications von Rao, U. Mohan, Sood, Y.R., Jarial, R.K.

“… This paper helps in tuning and designing the membership functions that are best suited for the problem statement by integrating subtractive clustering method for fuzzy expert system design …”
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