Efficient Training of Two ANNs Using Four Meta-Heuristic Algorithms for Predicting the FRP Strength

Author:

Kaveh Ali

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Kaveh, A., & Khavaninzadeh, N. (2023) Efficient training of two ANNs using four meta-heuristic algorithms for predicting the FRP strength, Structures, 52 (June), 256–272

2. Kaveh A. & Khalegi HA. (2000) Prediction of strength for concrete specimens using artificial neural network, Asian J. Civ. Eng., 2, 1–13

3. LyHai-Bang, Huu N, & Pham BT. (2021) Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength, Neural Comput. Appl. 33, 17331–17351

4. Salajegheh E, & Gholizadeh S. (2005) Optimum design of structures by an improved genetic algorithm using neural networks, Adv. Eng. Softw., 757–767

5. Zhou YW, & Wu YF. (2012) General model for constitutive relationships of concrete and its compos structures, Compos Struct, 94, 580–592

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