Predicting high-strength concrete parameters using weighted genetic programming

ISSN： 0177-0667

Source： Engineering with Computers, Vol.27, Iss.4, 2011-10, pp. : 347-355

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

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

By Márquez-Vera Carlos

Applied Intelligence, Vol. 38, Iss. 3, 2013-04 ,pp. : 315-330

Springer Publishing Company

Access to resources Recommend Favorite

Stress–strain modeling of high-strength concrete by the adaptive network-based fuzzy inference system (ANFIS) approach

By Dilmaç Hakan Demir Fuat

Neural Computing & Applications, Vol. 23, Iss. 1, 2013-12 ,pp. : 385-390

Springer Publishing Company

Access to resources Recommend Favorite

GP-Sumo: Using genetic programming to evolve sumobots

By Sharabi Shai Sipper Moshe

Genetic Programming and Evolvable Machines, Vol. 7, Iss. 3, 2006-10 ,pp. : 211-230

Springer Publishing Company

Access to resources Recommend Favorite

Using Cartesian genetic programming to design wire antenna

By Yu Zhangyi Zeng Sanyou

International Journal of Computer Applications in Technology, Vol. 43, Iss. 4, 2012-06 ,pp. : 372-377

Inderscience Publishers

Access to resources Recommend Favorite

Optimization of mass concrete construction using genetic algorithms

By Fairbairn E.M.R. Silvoso M.M. Toledo Filho R.D. Alves J.L.D. Ebecken N.F.F.

Computers and Structures, Vol. 82, Iss. 2, 2004-01 ,pp. : 281-299

Elsevier

Access to resources Recommend Favorite