Abstract: In this paper, functional networks (FN) proposed by Castillo as an alternative to neural networks are discussed. Unlike neural networks, the functions are learned instead of weights. In general, topology is selected based ...

Abstract: Pattern recognition has turned out to be an important aspect of a dominant technology such as machine intelligence. Domain specific fuzzy-neuro models particularly for the “black box” implementation of PR applications have ...

Abstract: A general discrete thin rod model to study the preslip response of a strand of helical wires having wires-to-core friction contacts under constant curvature free bending has been developed for the case of Coulomb stick ...

Abstract: This paper presents a derivation of the classical energy equation for the lateral buckling of doubly symmetric thin‐walled beams. This is based on the use of second‐order rotation components to obtain the nonlinear ...

Abstract: This note presents the application of the functional network (FN) and the sequential learning neural network (SLNN) for accurate prediction of tides during surge using short-term observation. Based on 34-day observed data, ...