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QUALITY EVALUATION OF LAND-COVER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK
Remote Sensing Land Cover classification Deep Learning Convolutional Neural Network Quality evaluation
2018/5/11
Land-cover classification is one of the most important products of earth observation, which focuses mainly on profiling the physical characters of the land surface with temporal and distribution attri...
Annual electricity consumption forecasting by neural network
ANN MLP Forecasting ANOVA Electricity consumption
2014/11/27
This paper presents an artificial neural network (ANN) approach for annual electricity consumption in high energy consumption industrial sectors. Chemicals, basic metals and non-metal minerals industr...
An Improved on BP Neural Network for Financial Crisis Prediction
Neural Networks Financial crisis forecasting
2011/8/19
Financial crisis early warning model has important economic research value, and foreign scholars have conducted many researches and achieved many results. For example :Beaver（1966）、Altman（1968）、Ohlson...
Agricultural data prediction by means of neural network
neural network multi-layer perceptron approximation learning regression
2014/2/27
The contribution deals with the prediction of crop yield levels, using an artificial intelligence approach, namely a multi-layer neural network model. Subsequently, we are contrasting this approach wi...
A Study on Competence Assessment of China’s Consulting Enterprises Based on BP Neural Network
management consultation enterprises competence evaluation BP neural networks
2013/2/23
With the influx of world well-known management consulting enterprises after China’s joining WTO and the weakness of Chinese management consulting enterprises, it has become an urgent issue for the loc...
Anomalous Returns in a Neural Network Equity-Ranking Predictor
Anomalous Returns Neural Network Equity-Ranking Predictor
2010/12/20
Using an artificial neural network (ANN), a fixed universe of approximately 1500 equities from the Value Line index are rank-ordered by their predicted price changes over the next quarter. Inputs to ...