Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Nonlinear finite element modeling of concrete confined by fiber composites
Finite Elements in Analysis and Design
Soft Computing and Fuzzy Logic
IEEE Software
Introduction to Fuzzy Logic using MATLAB
Introduction to Fuzzy Logic using MATLAB
Advanced Fuzzy Logic Technologies in Industrial Applications
Advanced Fuzzy Logic Technologies in Industrial Applications
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This study presents the application of soft computing techniques namely as genetic programming (GP) and stepwise regression (SR), neuro-fuzzy (NF) and neural networks (NN) for modeling of strength enhancement of FRP (fiber-reinforced polymer) confined concrete cylinders. The proposed soft computing models are based on experimental results collected from literature. The accuracy of the proposed soft computing models are quite satisfactory as compared to experimental results. Moreover the results of proposed soft computing formulations are compared with 10 models existing in the literature proposed by various researchers so far and are found to be by far more accurate.