To expand an areal density of hard disk drives, bit-patterned magnetic recording (BPMR) using a patterned medium instead granular as employed in perpendicular is attracting much attention the next-generation technology. further increase storage capacity BPMR, multi-layer can be combined with BPMR. Therefore, this paper considers double-layer single-reader/two-track reading technique for stagger...

Multiple Layer Perceptron networks trained with backpropagation algorithm are very frequently used to solve a wide variety of real-world problems. Usually a gradient descent algorithm is used to adapt the weights based on a comparison between the desired and actual network response to a given input stimulus. All training pairs, each consisting of input vector and desired output vector, are form...

Forecasting ragweed pollen concentration is a useful tool for sensitive people in order to prepare in time for high pollen episodes. The aim of the study is to use methods of Computational Intelligence (CI) (Multi-Layer Perceptron, M5P, REPTree, DecisionStump and MLPRegressor) for predicting daily values of Ambrosia pollen concentrations and alarm levels for 1-7 days ahead for Szeged (Hungary) ...

Appendix A. Determination of the amount of investment This appendix provides the details of section 2.4. Appendix A.1. Bayesian Three-layer Perceptron (i) Perceptron A three-layered perceptron with n factors and h hidden units is used as a basis function for a nonlinear system. That is, with the optimal investment rate y as an explained variable and with the vector of the explanatory variable (...

In this paper, the grouting ability of sandy soils is investigated by artificial neural networks based on the results of chemical grout injection tests. In order to evaluate the soil grouting potential, experimental samples were prepared and then injected. The sand samples with three different particle sizes (medium, fine, and silty) and three relative densities (%30, %50, and %90) were injecte...

In this work, a hybrid neural model (HNM) able to characterize accurately the dispersion behavior of the fundamental TE10 mode of a single layer SIW waveguide, is developed. The HNM combines the analytical expression that models the dispersion characteristics of this guiding structure, with a Multi Layer Perceptron Neural Network (MLPNN) which operates as an estimator of the cutoff angular freq...

This paper discusses the development of a system for the automated real-time measurement of crystal size distributions during crystallisation. An optimised selection of the Daubechies wavelet coefficients is used as input to a Multi–Layer Perceptron artificial neural network to characterise the crystal scale lengths. This technique gives significant advantages over the sampling-based measuremen...