neural network based prediction
Recurrent Neural Network based Prediction of Software Effort
... the network makes the output of software effort to the first similar software of the target software, the output is considered as an additional input to the network with the twelve main ...the ...
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Neural Network Based Rainfall Prediction
... artificial neural network. To train neural network we provide multiple districts’ rainfall data and a desired overall ...the neural network to predict a list that matches the ...
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Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
... ECG based on a configuration of bi-group NNs (BGNNs) ...Each network has the ability to be trained to specifically detect the presence (or absence) of one of the aforementioned diagnostic categories and ...
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Tourist traffic prediction method based on the RBF neural network
... to prediction about tourist ...are based on emo- tional management experience and macro-forecast, and there is no clear mathematical model, there is huge deviation between predicted value of tourist flow ...
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The Prediction of Stock Price Based on Improved Wavelet Neural Network
... Taking Shanghai stock market for example, the chosen time series is the closing index of daily stock price in Shanghai Stock exchange from March 23th, 2012 to November 28th, 2014. This yields a total of 607 data sam- ...
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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 ...
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A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... and prediction of traffic flow [2-5]. Though, many of these studies are based on simulations and mathematical derivations to most of these studies rely on mathematical equations or simulation techniques to ...
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Energy Consumption Prediction Model of Public Buildings Based on PSO RBF
... Artificial neural network technology has been widely used in prediction ...the prediction problems of stationary stochastic processes which contain complex ...consumption prediction ...
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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
... 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 ...
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AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM
... multi-step-ahead prediction is error ...delay neural network (ATNN) for prediction, a three-stage prediction model SATNN based on spline interpolation and ATNN is ...last ...
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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 ...
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ParkMe: IoT Based Parking Availability Prediction in Neural Network
... layouts based on the current GPS position of the driver’s device location. Based on a localized radius based search he can scan through a list of available parking slots in nearby parking layouts of ...
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Research on Freeway Passenger Flow Prediction Based on Neural Network
... independence[15]. Based on results of other papers,we choose the following six factors which have an impact on the highway passenger flow as input variables, year, GDP per capital, total industrial output, ...
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Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... model-BRF network model is founded to be used in groundwater dynamic simulation and ...data, neural network construction, training, testing and evaluating the entire ...
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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 ...
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Product Family Configuration Price Prediction Based On Neural Network
... Artificial neural network (ANN), hereinafter referred to as Neural Network (NN) for short, is a kind of network composed of a large number of interconnected neurons (the most basic ...
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Daily Network Traffic Prediction Based on Backpropagation Neural Network
... Based-on the BPNN algorithm model, there are four steps involved in building a forecasting algorithm which consists of (1) collecting data; collecting and preparing sample data, (2) data normalization; to train ...
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Software Defect Prediction Tool based on Neural Network
... fault prediction during recent ...algorithm based neural network tool is used for the prediction of software defects at an early stage of the software development life ...algorithm ...
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Recurrent Neural Network Based Narrowband Channel Prediction
... Adaptive modulation is capable of substantially improving the achievable system performance, provided that the relevant channel state information (CSI) can be accurately predicted [1], [2]. In high- rate broad-band ...
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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] ...
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