A denoising unit based on wavelet multiresolution analysis is added ahead of the multilayered perceptron. The cost function used in neural network learning is also applied as the denoising criterion and hence denoising itself is treated as a part of the integrated model. By introducing continuously derivable generalized soft thresholding function and infinite thresholds, a gradient based learni...

The Argon-Oxygen Decarburization (AOD) is the refining process of stainless steel to get its final chemical composition through several stages, where tons of materials are added and oxygen and inert gas are blown. The decarburization efficiency and the final temperature in each stage are two important values of this process. We present in this paper an empirical model, based on Multilayer Perce...

This report describes the approach developed by the JKU team for the MediaEval 2017 AcousticBrainz Genre Task. After experimenting with various classifiers on the development dataset, our final approach is based on multilayer perceptron classifiers.

We describe a multilayer perceptron model to predict the laboratory measurements of paper quality using the instantaneous state of the papermaking production process. Actual industrial data from a pilot paper machine was used. The final model met its goal accuracy 95.7% of the time at best (tensile index quality) and 66.7% at worst (beta formation). We anticipate usage possibilities in lowering...

The perceptron algorithm is an algorithm for supervised linear classification. Restricting ourselves to considering only binary classification, the most basic linear classifier is a hyperplane separating the two classes of our dataset. More formally, assume that we have a normal vector w ∈ RD defining a hyperplane. Binary classification is typically performed by defining a function f , such that

A novel algorithm for tunable compression to within the precision of reproduction targets, or storage, is proposed. The new algorithm is termed the “Perceptron Algorithm”, which utilises simple existing concepts in a novel way, has multiple immediate commercial application aspects as well as it opens up a multitude of fronts in computational science and technology. The aims of this paper are to...