Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks

Proceedings of the 25th international conference on Machine learning

William W. Cohen, Andrew McCallum, Sam T. Roweis · 2008 · 5.5K citations

Artificial Intelligence, Ai Reliability, Engineering +15

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquín Derrac, Salvador García, Daniel Molina et al. · Swarm and Evolutionary Computation · 2011 · 5.2K citations

Practical Tutorial, Engineering, Evolution Strategy +12

Universal Approximation Using Radial-Basis-Function Networks

Jihun Park, Irwin W. Sandberg · Neural Computation · 1991 · 4K citations

Numerical Analysis, Rbf Networks, Universal Approximation +14

X-means: Extending K-means with Efficient Estimation of the Number of Clusters

Dan Pelleg, Andrew Moore · 2000 · 2.2K citations

Nonlinear black-box modeling in system identification: a unified overview

Jonas Sjöberg, Qinghua Zhang, Lennart Ljung et al. · Automatica · 1995 · 1.9K citations

Nonlinear System Identification, Parameter Identification, Engineering +4