Committees: History and Applications in Machine Learning

Mazurov, Vl. D.; Polyakova, Ekaterina

doi:10.1007/978-3-030-33394-2_1

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…The committee machine has been used in several applications. Mazurov & Polyakova 68 , gave a brief history and applications with the mathematical background of the committee theory. Nadiri et al 69 , used a supervised committee machine for the prediction of fluoride concentration in groundwater.…”

Section: Committee Machinesmentioning

confidence: 99%

Discrimination between Small Earthquakes and Local Quarry Blasts Using Committee Machine

Lethy

Othman

Gabry

et al. 2021

Preprint

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A combination of multiple discrimination artificial neural networks using different seismic source parameters is suggested using a committee machine. In this work, a committee machine was used to combine supervised and unsupervised artificial neural networks to discriminate between earthquakes and quarry blasts using data from the Egyptian National Seismological Network (ENSN). The unsupervised network is used as a measure of accuracy for the results of the supervised neural network. The unsupervised Self-Organized Map (SOM) and the k-means clustering algorithms are used to estimate support and confidence measures for the results. Meanwhile, the supervised neural network is used to discriminate between earthquakes and explosions. The artificial neural networks are trained using different input parameters which are the P wave spectrum corner frequency (PcF), S wave corner frequency (ScF), and the ratio (Rcf) of PcF to Scf. The combined approach succeeds to discriminate between earthquakes and quarry blasts in Northern Egypt. The method provides the results with a measure of confidence which eliminates false discrimination. The current paper represents an idea to implement artificial intelligence to assist experts in decision-making situations. The committee machine could identify the nature of a particular event, using the aid of several discrimination methods. The proposed committee machine could combine the results of several algorithms and expert opinions to form one single output with a confidence measure.

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Section: Committee Machinesmentioning

confidence: 99%

Discrimination between Small Earthquakes and Local Quarry Blasts Using Committee Machine

Lethy

Othman

Gabry

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

Probably-Statistical Method for Written Signs Recognition Using the Measure of Proximity

et al. 2020

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The paper describes ways to recognize written signs when the nature of the source is absolutely unclear and the seemingly obvious possibilities for solving the problem are not clear as well. The article deals with methods of recognition of binary images in order to compare them and highlight the best. The images of documents are obtained with the help of a camera. The quality is low. The images of the collection were segmented and passed binaryization. A control sample was selected to test the recognition methods from the resulting collection. The paper describes the method of comparing images, their advantages and disadvantages when recognizing handwritten shorthand characters. The results obtained by comparing the characters of the control sample allowed determining the best method “method of comparison of forms”.

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Committees: History and Applications in Machine Learning

Cited by 2 publications

References 15 publications

Discrimination between Small Earthquakes and Local Quarry Blasts Using Committee Machine

Discrimination between Small Earthquakes and Local Quarry Blasts Using Committee Machine

Probably-Statistical Method for Written Signs Recognition Using the Measure of Proximity

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