Particle Swarm Optimization algorithm for detecting forged banknotes. The task Particle Swarm Optimization algorithm was used in order to learn weights for multiplayer perceptron neural network for ...

Classification is a process of discovering relations between a given data set and the corresponding output set. Many of the problems in our daily life, such as weather forecasting, medical diagnostics ...

K-nearest neighbor (K-NN) algorithm is a classification method based on statistical theory. In this algorithm the Euclidean distance is usually chosen as the similarity measure, which usually relates ...

Keywords: improved black widow optimization algorithm, radial basis function neural networks, classification and regression, power load prediction, metaheuristic. Citation: Liu H, Zhou G, Zhou Y, ...

Here we talk about the meta-heuristic algorithm that can solve this challenge as an optimization problem. The Crow Search Algorithm (CSA) is a relatively new, efficient meta-heuristic algorithm, and ...

Optimize data classification with our adaptive particle swarm optimization algorithm-based random forest model. Overcome premature convergence and improve model performance. See superior results in F1 ...

Classification algorithms are widely used in data science to predict the category or label of a given data point based on its features. However, not all classification algorithms perform equally ...

A hybrid fuzzy brain-storm optimization algorithm for the classification of brain tumor MRI images. Journal of ambient intelligence and humanized computing. 2020 Aug 14:1-9. 11 Raza A, Ayub H, Khan JA ...