Neural computing: theory and practice
Neural computing: theory and practice
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Practical genetic algorithms
The Practical Handbook of Genetic Algorithms: Applications, Second Edition
The Practical Handbook of Genetic Algorithms: Applications, Second Edition
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Programming Model for Software Quality Classification
HASE '01 The 6th IEEE International Symposium on High-Assurance Systems Engineering: Special Topic: Impact of Networking
Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)
A hybrid computational approach to derive new ground-motion prediction equations
Engineering Applications of Artificial Intelligence
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This study investigates an application of genetic programming (GP) for the prediction of peak ground acceleration (PGA) using strong-ground-motion data from Turkey. The input variables in the developed GP model are the average shear-wave velocity, earthquake source to site distance and earthquake magnitude, and the output is the PGA values. The proposed GP model is based on the most reliable database compiled for earthquakes in Turkey. The results show that the consistency between the observed PGA values and the predicted ones by the GP model yields relatively high correlation coefficients (R^2=0.75). The proposed model is also compared with an existing attenuation relationship and found to be more accurate.