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[PDF] Top 20 Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network

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Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network

Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network

... use EMD methods and artificial neural net- work combined forecasting methods to predict financial time ...combined EMD with a fuzzy neural network (FNN) to predict international ... See full document

10

Research on the forecasting model of China’s rare earth export prices based on BP neural network

Research on the forecasting model of China’s rare earth export prices based on BP neural network

... rate, price index, GDP, the producer price index as the five indicators to forecast China's rare earth export ...the neural network includes 5 neurons in the input layer and 1 neuron in the ... See full document

5

A hybrid Bayesian-network proposition for forecasting the crude oil price

A hybrid Bayesian-network proposition for forecasting the crude oil price

... Bayesian Network (BN) method for short-term forecasting of crude oil ...hybrid, based on both the aspects of classification of influencing factors as well as the regression of the out-of- ... See full document

21

The Research on the Forecasting of Stock Price Based on the Improved Neural Network

The Research on the Forecasting of Stock Price Based on the Improved Neural Network

... artificial neural networks to calculate the error contribution of each neuron after a batch of data (in image recognition, multiple images) is ...1, BP is a special case of an older and more general ... See full document

6

Artificial Neural Networks Based Oil Price Forecasting: A Decade Review of the Literature

Artificial Neural Networks Based Oil Price Forecasting: A Decade Review of the Literature

... Crude oil also called black gold, is a naturally occurring, unrefined petroleum product, obtained through oil drilling alongside other resources such as natural ...Crude oil prices are one of the key ... See full document

9

The Forecasting Model of Stock Price Based on PCA and BP Neural Network

The Forecasting Model of Stock Price Based on PCA and BP Neural Network

... stock price selects 15 items of 29 different stock transaction data and technical evaluation ...overlarge network input also affects the operating convergence efficiency of neutral network and ... See full document

17

Long Short Term Model for Brent Oil Price Forecasting

Long Short Term Model for Brent Oil Price Forecasting

... Recurrent neural network (RNN) is a model for predicting sequential data, for example, sound, time arrangement information or natural ...paper based on your interpretation of previous ...recurrent ... See full document

5

A novel method to identify pre-microRNA in various species knowledge base on various species

A novel method to identify pre-microRNA in various species knowledge base on various species

... tures based on the feature set in [13], and proposed the classifier Mipred based on RF method [15], Limin ...applied BP neural network to identify real and pseudo pre-miRNAs, and proved ... See full document

7

DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY USING ADAPTIVE BOOSTING AND ARTIFICIAL NEURAL NETWORK

DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY USING ADAPTIVE BOOSTING AND ARTIFICIAL NEURAL NETWORK

... convolutional neural network, trained the eye images with most suitable hyper- parameters, and got the one with best evaluation ...Artificial Neural Network performed very impressive in this ... See full document

6

Comparative Study on Forecasting Model for Stock Index Future Price

Comparative Study on Forecasting Model for Stock Index Future Price

... The stock index futures mean a kind of future with the stock index as the buying-and-selling basis. It’s of great significance to carry out the forecasting for the stock index futures. It could not only avoid the ... See full document

8

Cerebral Model Neural Network based Time Series Price Forecasting Considering Seasonality

Cerebral Model Neural Network based Time Series Price Forecasting Considering Seasonality

... The nodes can be seen as computational units. They receive inputs, and process them to obtain an output. The connections determine the information flow between nodes. They can be unidirectional, when the information ... See full document

6

Radar Emitter Signal Recognition Based on EMD and Neural Network

Radar Emitter Signal Recognition Based on EMD and Neural Network

... recognition based on wavelet [2] [3], RES recognition based on time frequency atom approach [4], they are all based on Fourier transformation and have many deficiencies, such as the limitation of ... See full document

8

Evaluation of quality of teaching based on BP neural network

Evaluation of quality of teaching based on BP neural network

... other network parameters need to determine, first of all is the choice of learning rate, learning rate determines the amount of weight change every ...the network out of the error surface of the trough ... See full document

6

Review on Financial Forecasting Using Neural Network and Data Mining Technique

Review on Financial Forecasting Using Neural Network and Data Mining Technique

... Segments a large set of data into subsets or clusters. Each cluster is a collection of data objects that are similar to one another within the same cluster but dissimilar to objects in other clusters. In other words, ... See full document

5

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS 
FOR ONE MAGNETRON

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON

... RBF neural network and weight values from the hidden layer to the output ...optimized neural network was used for transformer fault ...methods based on conventional RBF neural ... See full document

6

Global solar radiation forecasting based on meteorological  data using artificial neural network

Global solar radiation forecasting based on meteorological data using artificial neural network

... artificial neural networks (ANNs). This prediction was based on collected data from 28 sites in ...is based on the feed forward multilayer perception model with four inputs and one ...approach. ... See full document

5

Research on Financial Early Warning of Listed Corporation Based on SOM Fusion BP Neural Network

Research on Financial Early Warning of Listed Corporation Based on SOM Fusion BP Neural Network

... Step 1: The economic index values of all non-ST and SR samples are calculated and normalized from 0 to 1. Step 2: The relatively optimal non-ST and ST samples are initially screened out with the usage of the norma- lized ... See full document

10

Modelling and predicting of MODIS leaf area index time series based on a hybrid SARIMA and BP neural network method

Modelling and predicting of MODIS leaf area index time series based on a hybrid SARIMA and BP neural network method

... SARIMA, BP neural network and a hybrid method of SARIMA-BP neural network were used for modeling and predicting MODIS LAI time ...SARIMA-BP neural network ... See full document

7

Price forecasting in e-commerce using neural network approach

Price forecasting in e-commerce using neural network approach

... of neural network on forecasting and to show large number of observations reduces forecast ...on forecasting rather than number of hidden ... See full document

6

Forecasting of short term wind farm generation output based on a new plant growth neural network

Forecasting of short term wind farm generation output based on a new plant growth neural network

... of BP neural network. Based on the actual data of a wind farm, the forecasting results by the proposed method are more precise than those by BP neural network ... See full document

6

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