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Heavy metal pollution and ecological risk assessment: A study on Linli County soils based on self-organizing map and positive factorization approaches
This study analyzed the pollution level, distribution, sources, and ecological impact of six heavy metals (As, Cd, Cr, Cu, Zn and Pb) in soil from...
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Feature Extraction-Based Deep Self-Organizing Map
We propose in this work, a new approach for feature extraction based on deep Self-Organizing Map (SOM) network, named Generalized Unsupervised Deep...
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A self-organizing map approach for constrained multi-objective optimization problems
There exist many multi-objective optimization problems (MOPs) containing several inequality and equality constraints in practical applications, which...
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A Novel Approach of Detecting Malicious Phishing URL Using Self-organizing Map
Empirical study attempts to analyze major trends of phishing Uniform Resource Locator detection, emphasized on improvement of 80% training data on... -
Obesity Prediction Approach Based Habit Parameter and Clinical Variable Using Self Organizing Map
Obesity is a health problem in the twenty-first century, and can trigger several dangerous diseases. Several studies have been conducted in... -
Serendipity in Text and Audio Information Spaces: Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map
While tools exist that allow us to search through vast amounts of text within seconds, most systems fail to assist the user in getting an overview of... -
Monitoring of casting quality using principal component analysis and self-organizing map
The monitoring of casting quality is very important to ensure the safe operation of casting processes. In this paper, in order to improve the...
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Enhanced artificial ecosystem-based optimization self-organizing RBF neural network
In this paper, an enhanced artificial ecosystem-based optimization (EAEO) and a framework of self-organizing RBF neural network (SORBF) are proposed....
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Local Average Based Kinetic Gas Molecular (LA-KGMO) Optimized MR Brain Image Segmentation Using Modified Self Organizing Map (MSOM)
In magnetic resonance (MR) brain picture investigation, brain picture segmentation (BPS) is usually utilized for identifying, estimating and...
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Gray wolf optimization-based self-organizing fuzzy multi-objective evolution algorithm
Two goals of multi-objective evolutionary algorithms are effectively improving their convergence and diversity and making the Pareto set evenly...
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Construction of intelligent risk control system for internet finance based on self-organizing web based assurance communities
In recent years, China’s network economy platform has experienced remarkable growth, leading to significant advances in Internet financial services....
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Topologically Ordered Self Organizing Map for Optimal Allocation of Urban Emergency Mobile Power Supply
The optimal allocation of portable mobile power during urban emergency is a critical issue, which can be considered as route planning problem... -
A Modified Self-organizing Map with Mean-Shift Clustering for Seismicity Analysis of Earthquake Catalogs
The process of seismic de-clustering activity is highly important for comprehending the characteristics and trends of earthquakes, which can help in... -
Self-Organizing Maps and VMD for Accurate Diagnosis of Bearing Defects
PurposeIn rotating machines, bearings are essential components, but these have a limited life and are subject to degradation. This paper discusses...
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A faster dynamic convergency approach for self-organizing maps
This paper proposes a novel variable learning rate to address two main challenges of the conventional Self-Organizing Maps (SOM) termed VLRSOM: high...
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CO-OFDM System with Self-Organizing Map (SOM) for Improving the Spectral Efficiency by the Compensation of Phase Noise
For optical signal transmission to increase the spectral efficiency in coherent systems, the phase noise compensator (PNC) without any pilot and with... -
Profiling Network Applications with Fuzzy C-means and Self-Organizing Maps
This study addresses the problem of generating application clusters from network traffic data. These clusters are used for classification and... -
Self-Organizing Map Network for the Decision Making in Combined Mode Conduction-Radiation Heat Transfer in Porous Medium
Self-organizing map (SOM) network is used for the first time for decision making in combined mode conduction-radiation heat transfer in porous...
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Algorithm for Solving Traveling Salesman Problem Based on Self-Organizing Map** Network
Traveling salesman problem (TSP) is a classic non-deterministic polynomial-hard optimization problem. Based on the characteristics of self-organizing...
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Designing and modeling of self-organizing manufacturing system in a digital twin shop floor
The increasing personalized product demands bring reformation to the manufacturing paradigm. Traditional manufacturing systems seldom analyze and...