[PDF] Top 20 Development of accident prediction model by using artificial neural network (ANN)
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Development of accident prediction model by using artificial neural network (ANN)
... road accident follows of road category for Ops Sikap 2007 and 2008 in Malaysia, Table ...the accident occurs in federal route jotted the highest accident occurs compared to other roads for both 2007 ... See full document
44
Analysis of the effect of climate change on rainfall intensity and expected flooding by using ANN and SWMM programs
... water network is caused by climate change, land use change and an increase in urbanization and the wider ...the development of models to extrapolate future change in rainfall events in order to protect the ... See full document
11
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... the prediction of customer loyalty will provide a better understanding of Islamic banking that relates to customer loyalty and offer a platform that helps the bank management to improve the customer ...the ... See full document
12
Prediction of indoor environmental parameters for naturally ventilated building using artificial neural network: a reflection of outdoor parameters
... (MSE). Network testing was performed to validate the models ...the model was measured using the Mean Absolute Percentage Error ...twelve ANN models with the best structure were successfully ... See full document
52
A New Approach for Rainfall Prediction using Artificial Neural Network
... of ANN prediction models, and the results discovered at different ...of model growth covering the general scientific process, including a review of the hypothesis, the collection of suitable ... See full document
12
Artificial neural network prediction of weld geometry performed using GMAW with alternating shielding gases
... The model generated has been shown to accurately represent the weld penetration, leg length and effective throat thickness, by comparing the actual values with those predicted by the NeuroSolutions package as ... See full document
24
PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK
... of ANN to forecast thunderstorm is order of the day and a few literatures shows successful implementation of predicting convective ...initiation. ANN is considered to be a form of Artificial ... See full document
5
ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant
... Artificial neural networks (ANNs) are one of the machine learning methods used in many scientific fields ...An ANN is able to anticipate nonlinear and complex relationships between inputs and ... See full document
7
Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm
... generate prediction models, and the commercial software, DesignBuilder (DesignBuilder Software Ltd, Stroud, Gloucestershire, UK) [36], is used to calculate the sub-hourly heating load, cooling load, and indoor air ... See full document
15
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... AND PREDICTION USING ANN To predict the response variables beyond the scope of experimentation, predictive model such as artificial neural network (ANN) was ...the ... See full document
10
PREDICTION OF MONTHLY RAINFALL OF MANSA REGION USING ARTIFICIAL NEURAL NETWORK (ANN)
... whose prediction is challenging and ...to model. Rainfall prediction is extremely important in water resource engineering like proper management of floods and mitigation, droughts, environmental ... See full document
6
Sugeno Type Fuzzy Inference Model for Stock Price Prediction
... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ... See full document
12
A Hybrid Method for Compression of Solar Radiation Data Using Neural Networks
... The prediction of solar radiation is important for several applications in renewable energy re- ...radiation prediction, the identification of these variables for accurate solar radiation prediction ... See full document
12
Area and Timing Estimation in Register Files Using Neural Networks
... (RBF) Artificial Neural Network (ANN) model for the prediction of time and area for standard cell register files designed using optimized Synopsys Design Ware components ... See full document
9
Modeling of Power Consumption in Turning of Ferrous and Nonferrous Materials using Artificial Neural Network
... Artificial neural networks (ANN) have already been applied to various aspects of machining processes, such as optimization of machining parameters [5]-[6], prediction of cutting load [7]-[8], ... See full document
6
SCALED CONJUGATE GRADIENT NEURAL NETWORK MODELLING FOR PREDICTION OF CBR OF SOILS
... optimal artificial neural network (ANN) model is developed for prediction of CBR using scaled conjugate gradient algorithm by considering the role of learning cycles and ... See full document
5
Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange
... intelligent’ prediction model. Two soft computing models- Artificial Neural Network (ANN) and Fuzzy Artificial Neural Network (FANN) hybrid model were ... See full document
5
Andreassen and Artificial Neural Network Models Development for Fatality Prediction with Accessibility Aspect on Regency Area Cluster in West Java Province, Indonesia
... ANN model has been oftentimes implemented in many field of science to predict (William dan ...a model instrument of non-linier statistical data that can be used to model a complex relationship ... See full document
11
FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING
... based ANN (Artificial Neural ...optimum network model according to its desired forecasting task. Network performance is analyzed on the basis of its Mean Square Error (MSE) value ... See full document
13
Improved the Prediction of Multiple Linear Regression Model Performance Using the Hybrid Approach: A Case Study of Chlorophyll a at the Offshore Kuala Terengganu, Terengganu
... in prediction of Chlorophyll-a using this model is still a pandemic among researchers, due to the natural conditions in ocean water systems itself, which involved chemical, biological and physical ... See full document
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