Handling the Problem of Unbalanced Data Sets in the Classification of Technical Equipment States

Questions of handling unbalanced data considered in this article. As models for classification, PNN and MLP are used. Problem of estimation of model performance in case of unbalanced training set is solved. Several methods (clustering approach and boosting approach) considered as useful to deal with the problem of input data.

World survey of agricultural machinery and equipment.

[1] Asia.--[2] Europe.--[3] South America.--[4-5] Africa, Australia-Oceania.--[6] North and Central America.

Profile equipment evaluation.

Texas Department of Transportation, Austin

Calibration services for pavement survey equipment. Executive summary. Final report.

Federal Highway Administration, Office of Engineering and Highway Operations Research and Development, Washington, D.C.

Development of transit coach bonded brake lining test equipment and test procedures. Progress report. Final report.

Urban Mass Transportation Administration, Washington, D.C.

Guides to pollution prevention : the mechanical equipment repair industry.

Mode of access: Internet.

Cooperative research and development agreement with Graseby/Nutech Corporation : monitoring equipment for volatile organic compounds.

Mode of access: Internet.

Equipment repair.

Mode of access: Internet.

An evaluation of vacuum equipment for collection of asbestos waste /

"Contract no. 210-77-0053."

Injuries related to servicing equipment /

Oct. 1981.

Personal protective equipment.

"OSHA 3077."