Fields · Computer Science · Artificial Intelligence
Statistical and Computational Modeling
This cluster of papers focuses on the application of inductive modeling techniques, particularly GMDH-type neural networks and interval models, in various scientific research domains. The papers cover topics such as environmental monitoring, modeling and prediction of complex processes, application of machine learning algorithms, and the use of self-organization techniques. The overarching theme revolves around the utilization of advanced computational methods for sustainable development and scientific analysis.
Array
- Works
- 731
- Citations
- 4 923
Scientists whose main topic this is
1Shoichiro TakaoTokushima University · JapanComputer Science54citations, 5 yrs12works, 5 yrs19h-index2Anna BoldyrevaProkhorov General Physics Institute · RussiaComputer Science24citations, 5 yrs3works, 5 yrs3h-index3Volodymyr Semenovych StepashkoInstitute of Information Technologies and Systems of the National Academy of Sciences of Ukraine · UkraineComputer Science13citations, 5 yrs17works, 5 yrs10h-index4Vadym ZabchukWest Ukrainian National University · UkraineComputer Science7citations, 5 yrs10works, 5 yrs2h-index5Halyna A. PidnebesnaNational Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” · UkraineComputer Science4citations, 5 yrs9works, 5 yrs4h-index6Yaroslav M. LinderTaras Shevchenko National University of Kyiv · UkraineComputer Science3citations, 5 yrs9works, 5 yrs4h-index7Olha H. MorozInstitute of Information Technologies and Systems of the National Academy of Sciences of Ukraine · UkraineComputer Science2citations, 5 yrs4works, 5 yrs2h-index8Serhiy M. YefimenkoInstitute of Information Technologies and Systems of the National Academy of Sciences of Ukraine · UkraineComputer Science1citations, 5 yrs9works, 5 yrs4h-index