Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain)

2013 ◽  
Vol 27 (9) ◽  
pp. 3457-3476 ◽  
Author(s):  
J. A. Vilán Vilán ◽  
J. R. Alonso Fernández ◽  
P. J. García Nieto ◽  
F. Sánchez Lasheras ◽  
F. J. de Cos Juez ◽  
...  
Keyword(s):  
Support Vector Machines ◽  
Multilayer Perceptron ◽  
Support Vector ◽  
Northern Spain ◽  
Vector Machines ◽  
Multilayer Perceptron Networks

scholarly journals Automatic Motorcycle Detection on Public Roads

2013 ◽  
Vol 16 (3) ◽  
Author(s):  
Romuere Silva ◽  
Kelson Aires ◽  
Rodrigo Veras ◽  
Thiago Santos ◽  
Kalyf Lima ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Support Vector Machines ◽  
Image Classification ◽  
Multilayer Perceptron ◽  
Support Vector ◽  
Economic Factors ◽  
The Past ◽  
Vector Machines ◽  
Traffic Violations ◽  
Motorcycle Accidents

Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. Over the past years, automated mechanisms to inspect traffic violations such as radars and surveillance cameras are being used ever more. This paper’s goals are the study and implementation of some methods for automatic detection of motorcycles on public roads. Traffic images captured by cameras were used. For feature extraction of images, the algorithms SURF, HAAR, HOG and LBP were used as descriptors. For image classification, Multilayer Perceptron, Support Vector Machines and Radial-Bases Function Networks were used as classifiers. Finally, the results are presented and discussed.

scholarly journals PEMILIHAN MODEL PREDIKSI INDEKS HARGA SAHAM YANG DIKEMBANGKAN BERDASARKAN ALGORITMA SUPPORT VECTOR MACHINE(SVM) ATAU MULTILAYER PERCEPTRON(MLP) STUDI KASUS : SAHAM PT TELEKOMUNIKASI INDONESIA TBK

2019 ◽  
Vol 5 (1) ◽  
pp. 29-35
Author(s):  
Rusma Insan Nurachim
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Support Vector Machine ◽  
Support Vector Machines ◽  
Multilayer Perceptron ◽  
Support Vector ◽  
Rescaled Range ◽  
Vector Machines

Dalam memprediksi suatu kondisi harga saham,beberapa model analisa teknik telah dipakai dandikembangkan. Salah satunya dengan model datamining. Data mining merupakan salah satu cabangilmu komputer yang mencakup database, kecerdasanbuatan (artificial intelligence), statistik dan sebagainya.Penelitian ini melakukan analisis teknikal, yaitu diawalidengan mencari sifat multifraktal pada return sahamobjek penelitian dengan analisis rescaled range (untukmendapatkan eksponen hurst) untuk mengetahui apakahdata return tersebut bersifat acak atau terdapatpengulangan trend. Berikutnya akan dilakukan prediksiterhadap return saham tersebut dengan metode SVM(Support Vector Machines) dan MLP (MultilayerPerceptron) untuk kemudian akan dilakukan komparasimetode mana yang memiliki kesalahan lebih kecildalam memprediksi indeks harga saham.

Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach

2017 ◽  
Vol 76 (4) ◽  
pp. 817-840 ◽  
Author(s):  
P. J. García-Nieto ◽  
E. García-Gonzalo ◽  
J. R. Alonso Fernández ◽  
C. Díaz Muñiz
Keyword(s):  
Support Vector Machines ◽  
Predictive Modelling ◽  
Support Vector ◽  
Northern Spain ◽  
Vector Machines

Forecast of the higher heating value based on proximate analysis by using support vector machines and multilayer perceptron in bioenergy resources

Fuel ◽  
2021 ◽  
pp. 122824
Author(s):  
Paulino José García Nieto ◽  
Esperanza García–Gonzalo ◽  
Beatriz M. Paredes–Sánchez ◽  
José P. Paredes–Sánchez
Keyword(s):  
Support Vector Machines ◽  
Multilayer Perceptron ◽  
Proximate Analysis ◽  
Support Vector ◽  
Heating Value ◽  
Vector Machines
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