We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets o...
Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fo...
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
This paper describes a two-stage system for the recognition ge meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained in a sup...
Artificial neural networks, electronic circuits, and gene networks are some examples of systems that can be modeled as networks, that is, as collections of interconnected nodes. I...
Mattiussi, Claudio, Dürr, Peter, Marbach, Daniel ...