RETRACTED ARTICLE: Neural-network-based unified particle swarm optimization for the prediction of asphaltene precipitation due to natural depletion

Developing a Fuzzy Logic Model to Predict Asphaltene Precipitation during Natural Depletion based on Experimental Data

Traffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization

Prediction of traffic is very crucial for its management. Because of human involvement in the generation of this phenomenon, traffic signal is normally accompanied by noise and high levels of non-stationarity. Therefore, traffic signal prediction as one of the important subjects of study has attracted researchers’ interests. In this study, a combinatorial approach is proposed for traffic signal...

Network Traffic Prediction based on Particle Swarm BP Neural Network

The traditional BP neural network algorithm has some bugs such that it is easy to fall into local minimum and the slow convergence speed. Particle swarm optimization is an evolutionary computation technology based on swarm intelligence which can not guarantee global convergence. Artificial Bee Colony algorithm is a global optimum algorithm with many advantages such as simple, convenient and str...

S3PSO: Students’ Performance Prediction Based on Particle Swarm Optimization

Nowadays, new methods are required to take advantage of the rich and extensive gold mine of data given the vast content of data particularly created by educational systems. Data mining algorithms have been used in educational systems especially e-learning systems due to the broad usage of these systems. Providing a model to predict final student results in educational course is a reason for usi...

Image Feature Classification Based on Particle Swarm Optimization Neural Network

Image feature classification is one of the basic questions of image processing and computer vision and it is also a key step of image analysis. BP neural network has been extensively applied in feature classification and it can classify specific objects or features through early learning; however, BP algorithm also has many defects, including slow convergence speed and easiness to be trapped in...