Add to ORKGthat would support education in the field of constructing and operating selected artificial neural network topologies. The project is designed to investigate selected problems having to do with the generation and operation of perceptron and radial network and help to present the networks ’ operating principles as classification instruments in a case of identifying flower varieties for practical purposes
A machine vision and a multilayer perceptron artificial neural network (MLP-ANN) were applied to ide...
Artificial Neural Networks use high-performance computing and big data technology, opportunities for...
This thesis describes testing of artificial neural network depending on learning set for object reco...
W wielu pracowniach naukowych realizowanych jest obecnie wiele nowatorskich projektów naukowo badawc...
Over the past decade, unprecedented progress in the development of neural networks influenced dozens...
Unprecedented progress in the deep learning field influenced many of different industries, including...
Celem pracy było omówienie podstawowych technik klasyfikacyjnych w kontekście wykorzystania ich w pr...
Modern agriculture needs to have high production efficiency combined with a high quality of obtained...
The article considers the possibilities of using the artificial intelligence in horticulture and vit...
The automation is popular in agriculture sector is key concern besides emergent issue across the glo...
Artificial neural networks as a major soft-computing technology have been extensively studied and ap...
In the work based on agroecological and technological testing of varieties of grain crops of domesti...
Classification using a scale of visual notes is a strategy used to select erect bean plants in order...
Agricultural system is very complex since it deals with large data situation which comes from a numb...
In this study, an Artificial Neural Network (ANN) model was developed in order to classify varieties...
A machine vision and a multilayer perceptron artificial neural network (MLP-ANN) were applied to ide...
Artificial Neural Networks use high-performance computing and big data technology, opportunities for...
This thesis describes testing of artificial neural network depending on learning set for object reco...
W wielu pracowniach naukowych realizowanych jest obecnie wiele nowatorskich projektów naukowo badawc...
Over the past decade, unprecedented progress in the development of neural networks influenced dozens...
Unprecedented progress in the deep learning field influenced many of different industries, including...
Celem pracy było omówienie podstawowych technik klasyfikacyjnych w kontekście wykorzystania ich w pr...
Modern agriculture needs to have high production efficiency combined with a high quality of obtained...
The article considers the possibilities of using the artificial intelligence in horticulture and vit...
The automation is popular in agriculture sector is key concern besides emergent issue across the glo...
Artificial neural networks as a major soft-computing technology have been extensively studied and ap...
In the work based on agroecological and technological testing of varieties of grain crops of domesti...
Classification using a scale of visual notes is a strategy used to select erect bean plants in order...
Agricultural system is very complex since it deals with large data situation which comes from a numb...
In this study, an Artificial Neural Network (ANN) model was developed in order to classify varieties...
A machine vision and a multilayer perceptron artificial neural network (MLP-ANN) were applied to ide...
Artificial Neural Networks use high-performance computing and big data technology, opportunities for...
This thesis describes testing of artificial neural network depending on learning set for object reco...