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نمایش تعداد 1-7 از 7

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

نوع: Journal Paper

نویسنده : Min-Yuan Cheng; Minh-Tu Cao

سال: 2014

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

نوع: Journal Paper

نویسنده : Min-Yuan Cheng; Minh-Tu Cao

سال: 2014

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Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

نوع: Journal Paper

نویسنده : Min-Yuan Cheng; Minh-Tu Cao

سال: 2014

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

نوع: Journal Paper

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

سال: 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

نوع: Journal Paper

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

سال: 2014

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

نوع: Journal Paper

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

سال: 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

نوع: Journal Paper

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

سال: 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