Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN)
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[1] Hong-Guang Ni,et al. Prediction of compressive strength of concrete by neural networks , 2000 .
[2] Xiaobing Kong,et al. Wind speed prediction using reduced support vector machines with feature selection , 2015, Neurocomputing.
[3] Chih-Jen Lin,et al. Working Set Selection Using Second Order Information for Training Support Vector Machines , 2005, J. Mach. Learn. Res..
[4] Arkal Vittal Hegde,et al. Genetic algorithm based support vector machine regression in predicting wave transmission of horizontally interlaced multi-layer moored floating pipe breakwater , 2012, Adv. Eng. Softw..
[5] Sandor Popovics,et al. Analysis of the concrete strength versus ultrasonic pulse velocity relationship , 2001 .
[6] Yi Pan,et al. Transmembrane segments prediction and understanding using support vector machine and decision tree , 2006, Expert Syst. Appl..
[7] Ka Chi Lam,et al. Applying multiple kernel learning and support vector machine for solving the multicriteria and nonlinearity problems of traffic flow prediction , 2014 .
[8] Kaspar Willam,et al. ULTRASONIC TESTING OF DAMAGE IN CONCRETE UNDER UNIAXIAL COMPRESSION , 2001 .
[9] S. Chithra,et al. A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks , 2016 .
[10] B. V. Venkatarama Reddy,et al. Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN , 2009 .
[11] Rajendra Kumar Sharma,et al. Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming , 2016 .
[12] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[13] F. Koksal,et al. Modeling of Thermal Conductivity of Concrete with Vermiculite by Using Artificial Neural Networks Approaches , 2013 .
[14] Caijun Shi,et al. Prediction of elastic modulus of normal and high strength concrete by support vector machine , 2010 .
[15] Hong Peng,et al. Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction , 2017, Appl. Soft Comput..
[16] Yi Yang,et al. A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting , 2015 .
[17] Pijush Samui,et al. Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams , 2013 .
[18] Behrouz Ahmadi-Nedushan,et al. Prediction of elastic modulus of normal and high strength concrete using ANFIS and optimal nonlinear regression models , 2012 .
[19] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[20] Ruhaidah Samsudin,et al. A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting , 2011, Expert Syst. Appl..
[21] Paulin Coulibaly,et al. Groundwater level forecasting using artificial neural networks , 2005 .
[22] G. Trtnik,et al. Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks. , 2009, Ultrasonics.
[23] Masuzawa,et al. Water content and its effect on ultrasound propagation in concrete--the possibility of NDE , 2000, Ultrasonics.