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Prediction of Tensile Strength and Erosional Effectiveness of Natural Geotextiles Using Artificial Neural Network.

, , , , , и . ICCAE, стр. 121-127. IEEE, (2021)

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Kevin M Hubacher

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Michael de Jesus Pereira

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Interdisciplinary Framework: A Building Information Modeling Using Structural Equation Analysis in Lean Construction Project Management., , , , , и . MMBD/MLIS, том 341 из Frontiers in Artificial Intelligence and Applications, стр. 234-240. IOS Press, (2021)Management Competency Model: Predictive Neural Network Approach for Empirical Components of Construction Project Proficiency., , , и . MMBD/MLIS, том 341 из Frontiers in Artificial Intelligence and Applications, стр. 266-273. IOS Press, (2021)Neural Network-based Approach for Identifying the Influence of Factors affecting the Green Building Rating of a Rural Housing Construction., , и . ICMSS, стр. 36-43. IEEE, (2022)Prediction of Tensile Strength and Erosional Effectiveness of Natural Geotextiles Using Artificial Neural Network., , , , , и . ICCAE, стр. 121-127. IEEE, (2021)Artificial Neural Network with Sensitivity Analysis: Predicting the Flexural Strength of Concrete Pavement using Locally Sourced Dilapidated Concrete as Partial Replacement., , , и . CSAI, стр. 408-414. ACM, (2021)Hybrid Artificial Neural Network and Genetic Algorithm Model for Multi-Objective Strength Optimization of Concrete with Surkhi and Buntal Fiber., , , и . ICCAE, стр. 47-51. ACM, (2020)Backpropagation Neural Network in Flexural Members: Prediction of Capacity Reduction of Beams with Cold Joints using the Angle of Inclination and Discontinuity Location., , , , , , , и . ICCBD, стр. 60-67. ACM, (2021)Hybrid Neural - Based Model for Predicting the Construction Project Performance of High - Rise Building Projects in Metro Manila, Philippines., , и . MMBD/MLIS, том 341 из Frontiers in Artificial Intelligence and Applications, стр. 274-281. IOS Press, (2021)