Computational Intelligence: Principles, Techniques and Applications
By Amit Konar. 2005
323 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/a87de145e5108389bb50ec473c14fa89f275ae79
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Information Systems
- Nees Jan van Eck
- Ludo Waltman
- Ajith Abraham
- Swagatam Das
- Vicente García
- José Salvador Sánchez
- Chaomei Chen
- Fernanda Strozzi
Citations in the corpus
- Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives (2008, background): “Initially, these vectors are given by X1(0) = [5,−9] X2(0) = [6, 1] X3(0) = [−3, 5] X4(0) = [−7, 4] X5(0) = [6, 7]”
- Bibliometric Mapping of the Computational Intelligence Field (2007, background): “Given the fairly large number of papers concerned with support vector machines, it is quite remarkable that the topic of support vector machines is not covered in two recent textbooks on CI [23, 24].”
- A literature review on the application of evolutionary computing to credit scoring (2013, background): “Classification is one of the main applications of intelligent systems (Komar, 2005) and from a practical point of view, credit scoring can be deemed as a classical classification or prediction problem where a new input sample (customer) must be categorized into one of the predefined classes based on a…”