[PDF] Top 20 Recurrent Neural Network based Prediction of Software Effort
Has 10000 "Recurrent Neural Network based Prediction of Software Effort" found on our website. Below are the top 20 most common "Recurrent Neural Network based Prediction of Software Effort".
Recurrent Neural Network based Prediction of Software Effort
... of software effort and the third output of software effort is depending on two previous outputs as inputs and so ...The prediction process is done by taking parameters of similar ... See full document
7
Software Reliability Prediction using Neural Network with Encoded Input
... A neural network based software reliability model to predict the cumulative number of failures based on Feed Forward architecture is proposed in this ...available software ... See full document
7
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation
... Table 1 presents the main results of our paper. To show the merits of our RNN-RSM, we also re- implement Vaswani et al. (2011)’s work, denote as rule Markov model (RMM). It utilize tri-gram rule derivation history for ... See full document
7
A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort
... obtained error as well as the quality of network teaching [10]. Therefore, to demonstrate the sustainability of the results of the proposed architecture, we need a method to indicate the independence of results ... See full document
6
Image Description Using Deep Neural Network
... Computer software recently become smart enough to recognize objects in pictures, but not finding exactly what activities happening inside ...vision based image description system uses deep learning ... See full document
6
Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach
... global software development industry has now become more matured and ...the software development effort, and then create project development ...a neural network (NN) approach and a ... See full document
7
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
A Framework for Software Defect Prediction Using Neural Networks
... of software defects, yet most of these have not found widespread ...across software development lifecycle. The proposed framework is based on the use of neural networks for predicting defects ... See full document
11
A Neuro Based Software Fault Prediction with Box Cox Power Transformation
... of software faults detected in software system testing to the Gaussian data by the Box-Cox ...long-term prediction of the software fault ...the software fault predic- tion, where only ... See full document
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STUDIES ON IMPROVING TEXTURE SEGMENTATION PERFORMANCE USING GENERALIZED GAUSSIAN MIXTURE MODEL INTEGRATING DCT AND LBP
... Defect Prediction (SDP) focuses on the detection of system modules such as files, methods, classes, components and so on which could potentially consist of a great amount of ...among software metrics and ... See full document
10
A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation
... of software industry leads to need of new technologies. Software effort estimation is one of the areas that need more ...task. Effort Estimation techniques are broadly classified into ... See full document
7
Predicting Software Quality by Optimized BP Network Based on PSO
... in software quality prediction at home and abroad. Software quality prediction models are mainly based on the software test report and software metric, which use statistic ... See full document
8
INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... convolutional neural network in their ...convolutional neural network and recurrent neural network were used in our propose model which is to increase the ... See full document
7
Solar Power Prediction using Recurrent Neural Network
... web based Solar Power Predictor Application hosted on Flask ...Memory, Recurrent Neural Network ML ...the prediction of Solar Power user can login into web based app and select ... See full document
5
Artificial Neural Network Models For Software Effort Estimation
... feed-forward neural net- works (FFNN) is time-consuming than ...gradient based learning algorithms used to train neural network (NN) and the other is the iterative tuning of the parameters of ... See full document
5
To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction
... knowledge based or rule based systems ...the effort more accurately by incorporating total transparency in the prediction ...the software development effort accurately by taking ... See full document
6
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 ... See full document
5
Analysis of Time Series Prediction using Recurrent Neural Networks
... series prediction is the heart of forecasting data that is based on past information of any particular dataset, recurrent neural network combines with the time series algorithm and ... See full document
7
Neural Network based Software Effort Estimation: A Survey
... basis neural network and regression neural networks to predict software development ...basis neural networks model performs more accurately for effort ... See full document
6
A New High Performance Neural Network Model For Software Effort Estimation
... constructing software effort estimation models based on artificial neural ...the network that suits to the COCOMO model. Recent year the software industry is growing rapidly and ... See full document
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