[PDF] Top 20 Digital soil mapping using reference area and artificial neural networks
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Digital soil mapping using reference area and artificial neural networks
... ABSTRACT: Digital soil mapping is an alternative for the recognition of soil classes in areas where pedological surveys are not ...a digital soil map using ... See full document
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Digital soilscape mapping of tropical hillslope areas by neural networks
... the artificial neural net- work (ANN) and MaxLike ...profile, and plain ...training and validation samples collected both ran- domly and systematically is shown in Table ... See full document
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Detection of pore space in CT soil images using artificial neural networks
... Forward Neural Network (FFNN), also known as mul- tilayer perceptrons (MLP), are popularly used in many prac- tical ...nodes and an output layer of neurons; these two lay- ers connect the network to the ... See full document
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Estimating soybean yields with artificial neural networks
... (MLP) artificial neural network (ANN) requires supervised training to adjust the weights of the ...created using data from an experiment conducted during the 2013/2014 harvest at an experimental site ... See full document
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Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran
... in artificial and fuzzy neural networks technique has been conducted to separate classes of forest from non-forest using SPOT satellite neural network method with the accuracy of ... See full document
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ESTIMATION OF PHYSICAL AND CHEMICAL SOIL PROPERTIES BY ARTIFICIAL NEURAL NETWORKS
... - Soil physical and chemical analyses are relatively high-cost and time-consuming ...of soil samples, the use of Artificial Neural Networks (ANN) has been pointed out as a ... See full document
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COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING
... soils and have a range of different applications, mainly in ...(artificial neural networks and a maximum likelihood algorithm) in the prediction of soil classes in the northwest ... See full document
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Spatial predictive mapping using artificial neural networks
... management and for the planning of mitigation measures. Obviously, older and homogeneous forest stands of the Norway Spruce (Picea abies) are mainly affected by this ...factors and their relationship ... See full document
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Clinics vol.65 número12
... as artificial neural networks and discriminant analysis, were already in use for identifying the topographic patterns of ...pachymetry and elevation ... See full document
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Towards Development of Real-Time Handwritten Urdu Character to Speech Conversion System for Visually Impaired
... time and its conversion into human ...compared and their character recognition accuracies are ...feature and a dedicated GUI for easy ...illiterate and unable to read important text messages ... See full document
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EMPREGABILIDADE DE REDES NEURAIS ARTIFICIAIS (RNA) NA PREDIÇÃO DA QUALIDADE DE PAINÉIS AGLOMERADOS
... technical and economic implications for wooden products since costs can reach up to half of the product total price (CARNEIRO et ...machines and easy handling (ROFFAEL; SCHNEIDER, ...fruits and seeds ... See full document
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Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... appropriate neural network, able to simulate the behavior of proximity sensor at different functioning conditions, we choose a high degree of parameterization for the application, with different kind of ... See full document
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Hybrid artificial intelligence algorithms for short-term load and price forecasting in competitive electric markets
... horizontal and more complex architecture, largely due to deregulation and search for efficient policies [11], [8], followed by emerging consumption patterns (with an overall growth tendency), a more ... See full document
111
Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... Different neural network architecture & training algorithms were tried until the optimum model was ...backporpagation neural network with one hidden layer was tried, it was trained using gradient ... See full document
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Bankaların Finansal Başarısızlıklarının Geleneksel ve Yeni Yöntemlerle Öngörüsü(Prediction of Financial Failure of Banks with Traditional and New Methods)
... The aim of this study is to set the early warning models for the prediction of financial failures of banks which are most importnant factor of financial system especially in Turkey. In this study it is compared ... See full document
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High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data
... network and 30%, for validation (18 ...training and validation fractions were randomly ...(MLP) networks were used for the analysis and developed using the “mlp” function of the RSNNS ... See full document
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A New Approach for Time Series Forecasting: Bayesian Enhanced by Fractional Brownian Motion with Application to Rainfall Series
... computational and statistical methods for inferring dependencies between past and long-term future values of observed values as well as appropriate strategies to deal with longer horizons ...showed ... See full document
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SPATIAL DATA MINING TOOLBOX FOR MAPPING SUITABILITY OF LANDFILL SITES USING NEURAL NETWORKS
... extracted using the dataset preprocessing ...method using the Weka software, ConsistencySubsetEval test is used to select the most relevant ...Malaysia and are used as explanatory ...airports, ... See full document
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Application of multivariable control using artificial neural networks in a debutanizer distillation column
... on neural identification of a mutivariable input- mutivariable output (MIMO) ...(FIC-100) and the Temperature Control ...stream and concentration of i-butene existing in C5+ ...h/m3) and ... See full document
1
Cacha¸ca Classification Using Chemical Features and Computer Vision
... brandies and even wines go for oak bar- ...interpretation and understanding of human responses to the properties perceived by the senses (taste - flavor, smell - aroma, vision - ...cacha¸ca and do not ... See full document
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