Methodology for Classification Sections of Railway Network Using Cluster Analysis

doi 10.22616/erdev2019.18.n283
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Latvia University of Life Sciences and Technologies

Related search

Draft Methodology to Specify the Railway Sections Capacity

LOGI – Scientific Journal on Transport and Logistics
2017English

A Bayesian Network Classification Methodology for Gene Expression Data

Journal of Computational Biology
GeneticsMolecular BiologyComputational TheorySimulationComputational MathematicsMathematicsModeling
2004English

Railway Network Evaluation Based on Complex Network Analysis

Advances in Applied Mathematics
2016English

Conditions for Using of Trams on Railway Tracks Sections in Agglomeration Communication in Poland

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2018English

Application of Surface Water Quality Classification Models Using Principal Components Analysis and Cluster Analysis

Journal of Geoscience and Environment Protection
2019English

Analysis of Photon Scattering Trends for Material Classification Using Artificial Neural Network Models

IEEE Transactions on Nuclear Science
Electronic EngineeringNuclearNuclear EnergyHigh Energy PhysicsEngineeringElectrical
2013English

Development and Application of an Automatic Cluster Analysis System for EPMA Using Neural Network

Microscopy and Microanalysis
Instrumentation
2018English

Traffic Flow Condition Classification for Short Sections Using Single Microwave Sensor

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2010English

A Comparative Analysis of Feature Sets for Image Classification Using Back Propagation Neural Network

International Journal of Information and Electronics Engineering
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy