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Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

Type: Journal Paper

Author : Min-Yuan Cheng; Minh-Tu Cao

Year: 2014

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Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers

Type: Journal Paper

Author : Min-Yuan Cheng; Minh-Tu Cao

Year: 2014

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Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

Type: Journal Paper

Author : Min-Yuan Cheng; Minh-Tu Cao

Year: 2014

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Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network

Type: Journal Paper

Author : Min-Yuan Cheng; Minh-Tu Cao; Yu-Wei Wu

Year: 2015

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A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

Type: Journal Paper

Author : Min-Yuan Cheng; Minh-Tu Cao; Duc-Hoc Tran

Year: 2014

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Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution

Type: Journal Paper

Author : Duc-Hoc Tran; Min-Yuan Cheng; Minh-Tu Cao

Year: 2015

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Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off

Type: Journal Paper

Author : Min-Yuan Cheng; Duc-Hoc Tran; Minh-Tu Cao

Year: 2015

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Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers

Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network

A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution

Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off

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Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

Hybrid intelligent inference model for enhancing prediction accuracy of scour depth around bridge piers

Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network

A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

Solving Resource-Constrained Project Scheduling Problems Using Hybrid Artificial Bee Colony with Differential Evolution

Chaotic initialized multiple objective differential evolution with adaptive mutation strategy (CA-MODE) for construction project time-cost-quality trade-off