A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions

Bonanno, F.; Capizzi, Giacomo; Sciuto, Grazia Lo; Napoli, Christian; Pappalardo, Giuseppe; Tramontana, Emiliano

doi:10.1109/speedam.2014.6872127

Cited by 19 publications

(15 citation statements)

References 12 publications

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“…Basically a RBPNN consists of an input layer, which represents the input pattern or feature vector. The input layer is fully interconnected with the hidden layer, which consists of the example vectors (the training set for the PNN [35], [36]). One other important element of the RBPNN is the output layer and the determination of the class for which the input layer fits.…”

Section: P*mentioning

confidence: 99%

Automatic Classification of Fruit Defects based on Co-Occurrence Matrix and Neural Networks

Capizzi

Sciuto

Napoli

et al. 2015

Annals of Computer Science and Information Systems

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Abstract-Nowadays the effective and fast detection of fruit defects is one of the main concerns for fruit selling companies. This paper presents a new approach that classifies fruit surface defects in color and texture using Radial Basis Probabilistic Neural Networks (RBPNN). The texture and gray features of defect area are extracted by computing a gray level co-occurrence matrix and then defect areas are classified by the applied RBPNN solution.

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Section: P*mentioning

confidence: 99%

Automatic Classification of Fruit Defects based on Co-Occurrence Matrix and Neural Networks

Capizzi

Sciuto

Napoli

et al. 2015

Annals of Computer Science and Information Systems

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“…In the neural computation literature the activation functions commonly used are: the sigmoid also referred to as the logistic function (2), the hyperbolic tangent sigmoid transfer function (3), the radial basis transfer function (4). While for the output layer, very often, the linear function is used.…”

Section: The Basics Of Neural Network and Cfnnsmentioning

confidence: 99%

“…A review of the literature reveals that artificial intelligence [1], PSO methods [2], swarm algorithms [3] and Artificial Neural Network (ANN) [4], [5] G. Capizzi and G. Lo Sciuto are with the Department of Electrical, Electronics and Informatics Engineering University of Catania, Viale A. Doria 6, 95125 Catania, Italy, (email: gcapizzi@diees.unict.it, glosciuto@dii.unict.it).…”

Section: Introductionmentioning

confidence: 99%

Cascade Feed Forward Neural Network-based Model for Air Pollutants Evaluation of Single Monitoring Stations in Urban Areas

Capizzi¹,

Sciuto²,

Monforte³

et al. 2015

International Journal of Electronics and Telecommunications

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Abstract-In this paper, air pollutants concentrations for N O2, N O, N Ox and P M 10 in a single monitoring station are predicted using the data coming from other different monitoring stations located nearby. A cascade feed forward neural network based modeling is proposed. The main aim is to provide a methodology leading to the introduction of virtual monitoring station points consistent with the actual stations located in the city of Catania in Italy.

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“…It is possible to give many examples of knowledge retrieval methods, that applied in processed data can help in decision making [1], [2], [3], [4], [5], [6]. Paralleled to this, in the common computer systems we need to have optimal traffic on the server that is managing our business network [7], [8], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Benchmark Tests on Improved Merge for Big Data Processing

Marszałek

Woźniak

Borowik

et al. 2015

2015 Asia-Pacific Conference on Computer Aided System Engineering

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Abstract-Computer scientists and engineers work with increasing amounts of information. These data are used for knowledge retrieval, data management decision support and so on. Sorting algorithms are important procedures that if efficiently composed and implemented can increase speed of data processing and decision correctness. Many various sorting algorithms and their modifications are applicable in large computer systems. However, as the computer architectures are more efficient with each release and the software is more complex with each version there is need to improve sorting methods applied for big data computation.

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A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in IGSs by using WRNN predictors and GPU parallel solutions

Cited by 19 publications

References 12 publications

Automatic Classification of Fruit Defects based on Co-Occurrence Matrix and Neural Networks

Automatic Classification of Fruit Defects based on Co-Occurrence Matrix and Neural Networks

Cascade Feed Forward Neural Network-based Model for Air Pollutants Evaluation of Single Monitoring Stations in Urban Areas

Benchmark Tests on Improved Merge for Big Data Processing

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