Strength prediction of paste filling material based on convolutional neural network

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A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

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Evaluation of soil-concrete interface shear strength based on LS-SVM

(2016) Chunshun Zhang et al.   Geomechanics and Engineering

A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction

(2014) Li Liu et al.   COMPUTATIONAL INTELLIGENCE

Pattern-Similarity-Based Model for Time Series Prediction

(2013) Saurabh Bhardwaj et al.   COMPUTATIONAL INTELLIGENCE

Using artificial neural networks for predicting the elastic modulus of recycled aggregate concrete

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An overview of construction and demolition waste management in Canada: a lifecycle analysis approach to sustainability

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Prediction of compressive strength of recycled aggregate concrete using artificial neural networks

(2012) Z.H. Duan et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

Introduction to the Special Section on Deep Learning for Speech and Language Processing

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Experimental study and property analysis of seal-filling hydrogel material for hermetic wall in coal mine

(2010) Zhenmin Luo et al.   JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION

Effect of curing under pressure on compressive strength development of cemented paste backfill

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