Viability of two adaptive fuzzy systems based on fuzzy c means and ...

This paper investigates two methods, ANFIS-FCM and ANFIS-SUB, to determine their effectiveness in modeling Cadmium (Cd) in groundwater resources.

The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into ...

Viability of two adaptive fuzzy systems based on fuzzy c means and ...

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources.

Viability of two adaptive fuzzy systems based on fuzzy c means and ...

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources · List of ...

Jafarzade Naghmeh et al. Viability of two adaptive fuzzy ... - MTMT

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources.

Numerical methods for fuzzy clustering - ScienceDirect.com

Cited by (436) · Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means · Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive ...

Adaptive Fuzzy System Research Articles - R Discovery

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources. The Adaptive ...

Interval Type-2 Relative Entropy Fuzzy C-Means clustering

Viability of two adaptive fuzzy systems based on fuzzy c means and ... When only considering the k nearest neighbors of p , we have ... Robust Fuzzy Clustering ...

A robust multi-view knowledge transfer-based rough fuzzy C-means ...

Finally, to reduce manual intervention, a distance-based adaptive threshold determination mechanism is designed to determine the threshold ...

A Novel Adaptive Kernel Picture Fuzzy C-Means Clustering ... - MDPI

However, the existing fuzzy clustering approaches ignore two problems. Firstly, clustering algorithms based on Euclidean distance have a high ...

Multidimensional medical data modeling based on fuzzy cognitive ...

... fuzzy c-means clustering Knowledge-Based Systems 70: 242-255 ... Adaptive Fuzzy K-Means Algorithm ... 2019: Fuzzy C-Means Clustering Interval Type-2 ...

Unsupervised Multiview Fuzzy C-Means Clustering Algorithm - MDPI

Clustering may be categorized into two groups, named the parametric and non-parametric approaches. In 1993, model-based clustering was initially proposed by ...

Journal of Intelligent & Fuzzy Systems - Volume 26, issue 2 - IOS Press

... means (FCM) algorithm has been widely utilized for solving data clustering problems. The fuzzy c-means algorithm (FCM) can perform well when applied to ...

whats is the difference between "k means" and "fuzzy c means ...

I am trying to see if the performance of both can be compared based on the objective functions they work on? ... @Anony-Mousse : Both FCM and K- ...

Dynamic Background Subtraction Using Histograms Based on ...

... fuzzy c-means clustering Knowledge-Based Systems 70: 242-255 ... Viability of two ... 2018: An interval type 2 hesitant fuzzy MCDM approach and a fuzzy ...

Adaptive Kernel-Based Fuzzy C-Means Clustering with Spatial ...

In order to resolve the disadvantages of fuzzy C-means (FCM) clustering algorithm for image segmentation, an improved Kernel-based fuzzy C-means (KFCM) ...

[2405.13427] Adaptive Fuzzy C-Means with Graph Embedding - arXiv

Fuzzy clustering algorithms can be roughly categorized into two main groups: Fuzzy C-Means (FCM) based methods and mixture model based methods.

Fuzzy C-Means Algorithm Modification Based on Distance ...

Jafarzade et al., “Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater ...

An improved fuzzy C-means clustering algorithm using Euclidean ...

... Fuzzy Systems 1(2) (1993), 98–110. Digital Library · Google ... adaptive elastic distance, Knowledge-Based Systems 237 (2022), 107769.

Adaptive Neuro-Fuzzy Approach for Solar Radiation Forecasting in ...

... mean monthly clearness index Kt is favorably compared to the measured values. ... “Adaptive Neuro-Fuzzy Inference System Based Maximum Power Point ...