Predicting the Amount of Municipal Solid Waste via Hybrid Principal Component Analysis-Artificial Neural Network Approach

Publisher： Trans Tech Publications

E-ISSN： 1662-7482|2015|768|722-727

ISSN： 1660-9336

Source： Applied Mechanics and Materials, Vol.2015, Iss.768, 2015-07, pp. : 722-727

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Study on Prediction Model of Grain Yield Based on Principal Component Analysis and BP Neural Network

By  

Applied Mechanics and Materials, Vol. 2015, Iss. 713, 2015-02 ,pp. : 1939-1942

Trans Tech Publications

Access to resources Recommend Favorite

Application of Artificial Neural Network (ANN) for Predicting the Wear Behaviour of Al 2219-SiCp Composite

By  

Applied Mechanics and Materials, Vol. 2016, Iss. 852, 2016-10 ,pp. : 397-401

Trans Tech Publications

Access to resources Recommend Favorite

Tool Wear Prediction from Acoustic Emission and Surface Characteristics Via an Artificial Neural Network

By Wilkinson P.   Reuben R.L.   Jones J.D.C.   Barton J.S.   Hand D.P.   Carolan T.A.   Kidd S.R.  

Mechanical Systems and Signal Processing, Vol. 13, Iss. 6, 1999-11 ,pp. : 955-966

Academic Press

Access to resources Recommend Favorite

A New Approach Hybrid Based in Artificial Neural Networks to Detection and Classification of Failures in Aeronautical Structures

By  

Applied Mechanics and Materials, Vol. 2015, Iss. 763, 2015-06 ,pp. : 175-181

Trans Tech Publications

Access to resources Recommend Favorite

Predicting the Performance of High-Speed Railway Bridge Using Regression Neural Network Approach

By  

Applied Mechanics and Materials, Vol. 2017, Iss. 873, 2017-12 ,pp. : 220-224

Trans Tech Publications

Access to resources Recommend Favorite