A hybrid data mining algorithm is presented in this paper. This hybridization is considered the neural network and genetic algorithm. Academic information contains the finite hidden information. This ...

This paper proposes a data mining classification algorithm named SRmix (the mixture of SVM and RBF network) which can enhance the generalization ability of classical RBF network. The model is based on ...

Discover how to select the best data mining algorithm for your data science project with our expert guide on balancing complexity, resources, and performance.

Specialization: Data Mining Foundations and Practice Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science Prior knowledge needed: Familiarity of functionalities in Python, basic ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Discover the latest advances in ore reserve estimation techniques! Explore the use of machine learning algorithms (MLA) like neural networks (NN) and support vector machines (SVM) compared to ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Targeting at the investigation of practical and reliable load monitoring in field implementations, a non-intrusive load disaggregation approach based on an enhanced neural network learning algorithm ...