Search Results - predictive model techniques

Comparing the Performance of Predictive Models Constructed Using the Techniques of Feed-Forword and Generalized Regression Neural Networks by Ajiboye, Adeleke Raheem, Ruzaini, Abdullah Arshah, Hongwu, Qin, Jamila, Abdul Hadi

“…This paper compares the accuracy of two typical neural network techniques used for creating a predictive model. The techniques are feed-forward neural network and the generalized regression networks. …”
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Blood glucose level prediction using intelligent based modeling techniques by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin

“…In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. …”
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Machine learning techniques for software bug prediction: a systematic review by Saharudin, Syahana Nur’Ain, Koh, Tieng Wei, Kew, Si Na

“…There are many techniques and approaches that can be used to build the prediction models, such as machine learning. …”
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Failure Model Prediction Using Machine Learning Techniques by BZaki, Imanul ‘Aqilah

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Improving total sediment load prediction using genetic programming technique (Case Study: Malaysia) by N. A., Ahmad Abdul Ghani, N. A., Kamal, J., Ariffin

“…A new technique called Genetic programming (GP) technique is used to develop a new model to improve the prediction of total sediment load for rivers in tropical Malaysia. …”
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GUI Based ANFIS Modeling: Back Propagation Optimization Method for CO2 Laser Machining by Sivarao, Subramonian

“…The uniqueness of this modeling technique is that, all modeling, variable selection, model validation, prediction, etc. was done using a graphical user interface (GUI) developed on our own using Matlab. …”
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Integrated approach for improving cross-project software defect prediction performance by Bala, Yahaya Zakariyau

“…The TFSM approach leverages the strengths of each individual technique, resulting in a synergistic effect that enhances the model’s predictive accuracy. …”
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Data mining techniques for disease risk prediction model: A systematic literature review by Ahmad W.M.T.W., Ghani N.L.A., Drus S.M.

“…Decision making; Decision trees; Forecasting; Health care; Soft computing; Accuracy evaluation; Classification technique; Data mining algorithm; Descriptive analysis; Disease risks; Infectious disease; Risk prediction models; Systematic literature review; Data mining…”

A data-driven prognostic model using time series prediction techniques in maintenance decision making by Siti Azirah, Amai

“…The initial phase of this research deals with a conceptual design of data-driven prognostics model. This conceptual design leads to the formulation of a generic data acquisition and time series prediction techniques, which are the key elements to predictive prognostic solution. …”
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Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia by Tiu, Ervin Shan Khai

“…A better observed rainfall series data can lead to improved performance of the river water level prediction model. This study adopted the data pre-processing techniques to first improve the observed rainfall series. …”
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Improving Total Sediment Load Prediction using the GE Technique (Case Study: Malaysia) by Nadiatul Adilah, Ahmad Abdul Ghani, Junaidah, Ariffin

“…A new model using genetic programming (GE) technique is used to improve the prediction of sediment load for rivers in tropical Malaysia. …”
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A hybrid technique for dinar coin price prediction using artificial neural network based autogressive modeling technique by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Ameer Amsa, Mohamad Ghazali

“…Thus in this work, recently proposed artificial neural network based autoregressive (ANN-BASED AR) modeling technique has been applied in predicting accurately the daily price of Islamic Dinar coin. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

“…These models are developed by integrating multilayer perceptron neural network and evolutionary optimization techniques. …”
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A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process by Mohan, Varun Geetha, Ameedeen, Mohamed Ariff, Vijayan, Bincy Lathakumary, Al-Fahim, Mubarak-Ali

“…Lastly, it can sort out the best AI technique to design predictive models for WWTPs.…”
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Consumer load prediction and theft detection on distribution network using autoregressive model by Abdullateef, Adoyele Isqeel, Salami, Momoh Jimoh Eyiomika, Ahmed, Musse Mohamud, Onasanya, Mobolaji Agbolade

“…Average energy consumption obtained over 24 hours was used for the modelling and 5-minute step ahead load prediction based on model order 20 of minimum description length criterion technique was achieved. …”
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An exponential growth model for gold price prediction with levenberg-marquardt technique by Hui, Ting Teo, Kek, Sie Long

“…The simulation results show that the exponential growth model presents a high prediction accuracy. In conclusion, using the exponential growth model to predict gold selling prices demonstrates a highly satisfactory prediction result…”
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Predictive Model of Parameters Validation for the Vortexanda Technique by using Fuzzy Logic and Neural Network / Norashikin Ahmad Kamal ...[et al.] by Ahmad Kamal, Norashikin, Sangmin, Shin, Heekyung, Park

“…The aim of this study was to establish a validation model to verify the accuracy of non-dimensional parameters in predicting the removal efficiency of the vortexanda technique. …”
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Identification of significant features and data mining techniques in predicting heart disease by Amin, Mohammad Shafenoor, Chiam, Yin Kia, Varathan, Kasturi Dewi

“…Experiment results show that the heart disease prediction model developed using the identified significant features and the best-performing data mining technique (i.e. …”
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Profiling patterns in healthcare using an ensemble model framework to predict employee health risks by Chan, Nicholas Kin Whai

“…By amalgamating multiple predictive models into a cohesive framework, the ensemble model offers superior predictive accuracy compared to traditional single-model approaches. …”
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Sediment load prediction for rivers in Malaysia using evolutionary polynomial regression technique by Nadiatul Adilah, Ahmad Abdul Ghani, Junaidah, A.

“…A new set of data that contains 82 data is used for validation and the results also give a good prediction of sediment loadings. The new model predictions are also compared with the present sediment model using other techniques, such as the regression technique by Ariffin in 2004, a modified Graf by Chan in 2005 and a multiple regression technique by Sinnakaudan in 2006. …”
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