[PDF] Top 20 Neural Network-Based Fuel Price Prediction
Has 10000 "Neural Network-Based Fuel Price Prediction" found on our website. Below are the top 20 most common "Neural Network-Based Fuel Price Prediction".
Neural Network-Based Fuel Price Prediction
... onwards fuel price is fixed by the oil companies by day today ...The price fixation is based on the crude oil prices in the international ...petrol price based on the estimated ... See full document
6
Recurrent Neural Network based Prediction of Software Effort
... The parameters after that is extracted from each software as inputs to RFFNN, recurrent parameters are affected to train the network for predicting of the effort of new software. Table (2) shows the results of ... See full document
7
The Research on the Forecasting of Stock Price Based on the Improved Neural Network
... (artificial neural network) technology has developed ...improved neural network and we used it to do empirical analysis with some optimization methods like ...term prediction in the ... See full document
6
Predicting stock price based on BP neural network model
... The increase in the stock will affect the development of the economy, so the description and forecast of the capital are fundamental. Therefore, this paper first analyzes the historical data of Everbright Bank stock ... See full document
10
Failure prediction of Chinese A share listed companies : comparisons using logistic regression model and neural network analysis : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University, Palmerston North, New Zealand
... This study compares the relative prediction accuracy of corporate failure between two prediction methods -logistic regression model and neural network analysis- based on a sample of 3598[r] ... See full document
9
AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM
... Set1 prediction error and other model simulation results, RN_BPTT, RN_CBPTT and RN_ECBPT are based on recurrent neural network model, the results were come from the literature ...minimum ... See full document
5
Prediction of Tourist Quantity Based on RBF Neural Network
... RBF neural network modeling, whether to choose a set of input variables which can best reflect the reason for desired output changes is directly related to the performance of neural network ... See full document
6
Software Defect Prediction Tool based on Neural Network
... Artificial Neural Network, Decision Tree, Support Vector Machine (SVM), cascade correlation network, group method of data handling polynomial method, gene expression programming) ... See full document
7
Recurrent Neural Network Based Narrowband Channel Prediction
... Abstract—In this contribution, the application of fully connected recur- rent neural networks (FCRNNs) is investigated in the context of narrow- band channel prediction. Three different algorithms, namely ... See full document
5
Study on displacement prediction of landslide based on neural network
... comprehensive prediction criterion of data mining and building forecasting model about how to choose the right method to introduce right theory to the study of geological disaster ...disaster prediction ... See full document
8
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
... a prediction method based on the Artificial Bee Colony algorithm and BP neural network, which was developed in order to improve the prediction of rolling force in hot strip rolling ... See full document
8
Energy Consumption Prediction Model of Public Buildings Based on PSO RBF
... RBF neural network has more advantages in approximating capability and learning ability ...the network training ...RBF neural network to meet the requirements of target ...RBF ... See full document
6
Prediction of MoRFs Based on n-gram Convolutional Neural Network
... is based on a single machine-learning model with multiple channels to extract features with different group of residues (n-gram), so we only compare our method with three representative single model based ... See full document
7
Tourist traffic prediction method based on the RBF neural network
... Early prediction on tourist flow mainly focuses on econometric models [3-4], whose main feature is that tourism demand is predicted by analyzing factors affecting tourist ...grey prediction method, ARMA ... See full document
5
Failure Prediction of Underground Pipeline Based on Artificial Neural Network
... Artificial neural network has become a useful tool for many engineering ...the prediction and analysis of underground pipeline failure, an ANN model is established as basis of the data of buried ... See full document
5
An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm
... groups for the period 2001-2014. The results showed that both methods can be used as alternative algorithms in making predictions. Furthermore, [8] have implemented the Backpropagation Neural Network (BPNN) ... See full document
6
Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... captured. Based on NNs rules, the data were divided into training and testing data then, the datasets consist of 144 (90%) samples for data training and 48 (10%) samples for data testing or two neurons, P=[p(t-1), ... See full document
5
Hybrid Prediction Models For Stock Market
... series prediction model are analyzed which includes Box-Jenkins method (ARIMA), as a classical statistical method and Artificial Neural Network and Rough Neural Network –a hybrid ... See full document
9
A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... model based on support vectors representations, is being introduced by Castro-Neto et ...Bayesian network-based method for short-term traffic flow predictions ...convolutional neural networks ... See full document
5
A Framework for Software Defect Prediction Using Neural Networks
... output based on a function which can be sigmoid, step or some such suitable ...of neural networks is their capability to learn from patterns. A neural network learns patterns by adjusting its ... See full document
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