The purpose of this paper is to describe the use of the multiple classes random neural network model to learn various statistical patterns. We propose a pattern recognition algorithm for the recognition of statistical patterns based upon the non-linear equations of the multiple classes random neural network model using gradient descent of a quadratic error function. In this case the classification errors are considered. © Springer-Verlag 2004.
CITATION STYLE
Aguilar, J. (2004). Statistical pattern recognition problems and the multiple classes random neural network model. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3287, 336–341. https://doi.org/10.1007/978-3-540-30463-0_41
Mendeley helps you to discover research relevant for your work.