DSP Systems vs ANN Ensembles for Motion Detection and Filtering

Considering these difficulties, this paper presents the evaluation of segmentation by artificial neural network (ANN) SOM to automatic detection of nodules contour in

Since artificial neural network (ANN) and particle swarm optimisation (PSO) techniques have never been used in the previously reported work, this work proposes a combination of ANN

This paper aims to constitute an empirical study on the applicability of the AR method in the field of Information, more specifically analyzing the implementation of ISS policies

Thus, this study aims to assess the use of Artificial Neural Networks (ANN) to predict particleboard quality, using as input variables the density (quantitative variable) and

The purpose of this study was to compare modelling by artificial neural networks (ANN) and linear discriminant analysis (LDA) as alternatives for the selection of promising

measurement unit (IMU) use in skateboarding trick detection, and to develop new classiication methods using supervised machine learning and artiicial neural networks (ANN).. Methods:

This paper proposes a method (denoted by WD-ANN) that combines the Artificial Neural Networks (ANN) and the Wavelet Decomposition (WD) to generate short-term global horizontal solar

The number of neurons in input layer, hidden layer and output layer of this neural network were kept as 6, 11 and 1, respectively (Fig. This ANN was first trained with