A review on the application of response surface methodology (RSM) and artificial neural
networks (ANN) in biosorption modelling and optimization is presented. The theoretical …

This paper is to provide practical options for prognostics so that beginners can select
appropriate methods for their fields of application. To achieve this goal, several popular …

In this paper, an adaptive neural network control with optimal number of hidden nodes and
less computation is proposed for approximating the system uncertainty and tracking the …

Condition-based maintenance (CBM) is a cost effective maintenance strategy, in which
maintenance schedules are predicted based on the results provided from diagnostics and …

In the last decades ensemble learning has established itself as a valuable strategy within
the computational intelligence modeling and machine learning community. Ensemble …

Competitive majority network trained by error correction (C-Mantec), a recently proposed
constructive neural network algorithm that generates very compact architectures with good …

Nowadays application of neural networks in the manufacturing field is widely assessed even
if this type of problem is typically characterized by an insufficient availability of data for a …

Predictive models describing the kinetics of fungal growth and thus the risk of mycotoxin
formation in mass of grain are promising prognostic tools that may be used in postharvest …

C-Mantec is a novel neural network constructive algorithm that combines competition
between neurons with a stable modified perceptron learning rule. The neuron learning is …

Many critical societal functions depend on uninterrupted service of civil engineering
infrastructure. Railroads represent important infrastructure components of the transportation …