Scoring Algorithm In subject area: Computer Science A scoring algorithm is a type of modeling algorithm used in data mining to create decision rules based on known categories or relationships, which can then be applied to unknown data for scoring or classification purposes. AI generated definition ...
Data Mining With STATISTICA STATISTICA Data Mining Recipe STATISTICA does not present the modeling workflow on a canvas-like interface—each model is saved separately as a “Data Mining Recipe.” Data Mining Recipe is an automated model selection procedure—an analog to the one in SPSS Modeler—th...
It occurred to Zhang, who has a computer science background, that the AI could lend a hand and he developed the algorithm. "You have at least 100 elements at one single site, and the objects keep changing," said Zhang. "Only AI can calculate viable results via an inverse modeling." No...
maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain. neural-networkcommunity-detectiondata-visualizationeegneural-networksgraph-theoryeeg-signalsmodularit...
A novel approach to wind energy modeling in the context of climate change at Zaafrana region in Egypt Bassem Khaled Kamel Almoataz Y. Abdelaziz Amr Khaled Khamees Scientific Reports (2025) An efficient multi-objective parrot optimizer for global and engineering optimization problems Mohammed R....
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-ESS) play an important role in improving energy efficiency, ensuring grid stability and promoting energy transition. As an important part of the micro-grid system, the energy storage system can realize the stable...
Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization probl
Chandrawat RK, Kumar R, Garg B, Dhiman G, Kumar S (2017) An analysis of modeling and optimization production cost through fuzzy linear programming problem with symmetric and right angle triangular fuzzy number. In: Proceedings of Sixth International Conference on Soft Computing for Problem Solving...
The authors introduced a Boltzmann machine that is capable of modeling thermodynamic observables for physical systems in thermal equilibrium. As a main novelty of the paper, the authors used unsupervised learning to train the Boltzmann machine on data sets constructed with spin configurations. As the...
To remedy the eventual effects of thisdevelopment process, an important part of the methodology of designing and implementing abusiness applicationis modeling the business process as a way of guiding the algorithmic implementation. In fact, building this model is the first step in the process of ex...