Research in computational intelligence is directed toward building thinking machines and
improving our understanding of intelligence. As evident, the ultimate achievement in this …

Cancer of the cervix has the potential to be eradicated since the initiating cause is known.
There was not much known about this cancer until the time of the Renaissance. In Malaysia …

Hierarchical RBF networks consist of multiple RBF networks assembled in different level or
cascade architecture. In this paper, an evolved hierarchical RBF network was employed to …

This paper proposes a new face recognition approach by using the Discrete Cosine
Transform (DCT) and Hierarchical Radial Basis Function Network (HRBF) classification …

Currently, Pap test is the most popular and effective test for cervical cancer. However, Pap
test does not always produce good diagnostic performance. This problem has encouraged …

This paper presents a Hierarchical Markovian Radial Basis Function Neural Network
(HiMarkovRBFNN) model that enables recursive operations. The hierarchical structure of …

Breast cancer is the number one killer disease among women worldwide. Although this
disease may affect women and men but the rate of incidence and number of deaths are high …

Forecasting exchange rates is an important financial problem that is receiving increasing
attention especially because of its difficulty and practical applications. This paper proposes a …

This paper proposes a new face recognition approach by using kernel principal component
analysis (KPCA) and hierarchical radial basis function (HRBF) network classification model …

In this paper, we report the first evaluation of cooperation computing for artificial neural
networks in distributed environment. Several performance-relevant factors are considered …