[PDF] Top 20 Short term Precipitation Prediction Based on a Neural Network Method from Radar Observations
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Short term Precipitation Prediction Based on a Neural Network Method from Radar Observations
... data, radar reflectivity data are much more complex to process. Radar raw data is stored in the spherical coordinate system from low elevation to the high in the order of ...the radar raw data ... See full document
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Decision Technique of Solar Radiation Prediction Applying Recurrent Neural Network for Short Term Ahead Power Output of Photovoltaic System
... for short-term-ahead power output of PV system based on solar radiation ...Recurrent Neural Network (RNN) is shown for solar radiation prediction in this ...proposed ... See full document
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A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction
... The neural network has ability to solve the complex relationship between input and output and decision making under uncertainty and prediction patterns ...for short term load forecast ... See full document
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A neural network model for short term river flow prediction
... The method used to solve this conflict was to group radar measurements with the same time lag, leading to a smaller input ...The radar pixels showing the same time lag to the runoff on average were ... See full document
7
Investigating rainfall estimation from radar measurements using neural networks
... of precipitation aloft. Scanning radar observations can capture the four dimensional structure of ...the radar observations and ground rainfall in a simple ...in radar rainfall ... See full document
10
A NEURAL NETWORK MODEL FOR SHORT TERM PREDICTION OF SURFACE OZONE AT TROPICAL CITY
... new method for short term prediction is presented using the neural network ...ozone prediction using the technique of adaptive pattern recognition is ...ozone based ... See full document
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Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process
... one method is to use the finite element method (FEM) to predict rolling force, which is able to perform complicated calculations under realistic process constraints and various deformation ...use ... See full document
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Neural network based country wise risk prediction of COVID-19
... Abstract: The recent worldwide outbreak of the novel corona-virus (COVID-19) opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, ... See full document
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Gold Price Prediction Based on PCA GA BP Neural Network
... BP neural network model based on principal component analysis (PCA) and genetic algorithm (GA) was proposed for the short-term prediction of gold ...BP neural ... See full document
12
The Short term Prediction of Vehicle Speed of Urban Freeway Based on RBF Neural Network
... the prediction accuracy, taking 10 minutes as the time scale to calculate the five measured time average velocity and five predicted time average velocity, whose time interval is ...two prediction methods ... See full document
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A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... are based on parametric approaches, and some are based on analytical ...of neural networks that have been widely applied traffic related predictions in the previous few ...Artificial Neural ... See full document
5
Short-Term Traffic Prediction Using a Binary Neural Network.
... Short-term prediction algorithms can broadly be classified into univariate and multivariate ...univariate prediction models predict the future value of a single variable as a function of the ... See full document
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Online Failure Prediction for Railway Transportation System based on Fuzzy Rules and Data Analytics
... optimal prediction model ARIMA(p, d, q), we can forecast the monitored variable’s ...of prediction functions in this ...the prediction error is white ... See full document
6
A Protein Secondary Structure Prediction Method Based on BP Neural Network
... Profile is a two-dimensional array, the first dimension corresponds to the sequence number, each row is a 20-dimensional vector (corresponds to 20 kinds of amino acids), each element in the vector (corresponds to the ... See full document
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Tourist traffic prediction method based on the RBF neural network
... accurate prediction model which can reflect on tourist flow and has quantitative relation with other ...traffic prediction method is proposed based on the RBF neural ...This ... See full document
5
The effect of flow and orography on the spatial distribution of the very short term predictability of rainfall from composite radar images
... arising from peri- odic features of the Fourier transform, it is possible to notice that lifetimes are higher on the upwind side and lower on the downwind side of terrain ...of precipitation upstream of the ... See full document
16
Linear and Neural Network-based Models for Short-Term Heat Load Forecasting
... classic neural network architecture described above, an additional NN architecture with a direct linear link (NNLL) was applied due to the strong linear relationship between the input and output ...link ... See full document
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Implementation of Neural Network Approach for Short term Load forecasting
... In figure 1, various inputs to the network arerepresented by the mathematical symbol, x (n).Each of these inputs is multiplied by a connectionweight. These weights are represented by w(n). Inthe simplest case, ... See full document
5
Gesture Recognition Using LFMCW Radar and Convolutional Neural Network
... the radar echo signal can obtain the R-D map of the radar echo ...of radar echo signals consisting of N Chirps is stored in a matrix, and firstly, a 1D-FFT transform is performed in the matrix row ... See full document
6
Bias correction of ANN based statistically downscaled precipitation data for the Chaliyar river basin
... and from 1980 to 1999 for Kottaparamba) was used for training and the second part (from 2000 to 2011 for Puduppadi and 2000 to 2007 for Kottaparamba) was used for ...The network was trained using the ... See full document
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