Area of research
Biomedical Engineering · Mechanical Engineering
Research interest
Research focused on Particle swarm optimization and Solubility, with related work in Artificial neural network, Supercritical carbon dioxide, Supercritical fluid. Notable publications include 'Prediction of gas solubility in polymers by back propagation artificial neural network based on self-adaptive particle swarm optimization algorithm and chaos theory', 'Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm...', and 'Solubility prediction of gases in polymers using fuzzy neural network based on particle swarm optimization algorithm and clustering method'.
Solubility prediction of gases in polymers based on an artificial neural network: a review
Prediction of supercritical carbon dioxide solubility in polymers based on hybrid artificial intelligence method integrated with the diffusion theory
Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means
Prediction of gas solubility in polymers by back propagation artificial neural network based on self-adaptive particle swarm optimization algorithm and chaos theory
Solubility prediction of gases in polymers using fuzzy neural network based on particle swarm optimization algorithm and clustering method
Prediction of the gas solubility in polymers by a radial basis function neural network based on chaotic self‐adaptive particle swarm optimization and a clustering method