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Toxic Gas Dispersion Model Based On Neural Pattern Recognition Networks
Published 2022“…First, NPR development is developed using three different algorithms which are Levenberg-Marquart (LM), Bayesian Regularization (BR) and Scaled Conjugated Gradient (SCG) to propose the best network algorithm using 70% training and 10-28 hidden neurons. …”
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Monograph -
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network
Published 2021“…On the whole, BR algorithm with 60% training and 30 hidden nodes were successfully developed for BOD analysis, meanwhile, 70% training for COD analysis with the regression values of 0.9978 and 0.9976 respectively. …”
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Slew Control of Prolate Spinners Using Single Magnetorquer
Published 2016“…Pulse-train algorithms can also be used for oblate spacecraft. …”
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Improved prediction accuracy of biomass heating value using proximate analysis with various ANN training algorithms
Published 2022“…However, most studies of ANN to estimate the biomassâ�� HHV only use one algorithm to train a small number of biomass datasets. …”
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Extending the decomposition algorithm for support vector machines training
Published 2003“…Using a conventional optimizer to train SVM is not the ideal solution. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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Thesis -
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Sentiment classification for malay newspaper using clonal selection algorithm / Nur Fitri Nabila Mohamad Nasir
Published 2013“…In this study, sentiment classifier using clonal algorithm selection was developed to categorize sentiment in Malay newspaper (Berita Harian). …”
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Object detection system using haar-classifier
Published 2009“…Training phase use OpenCV utilities such as haartraining.exe to train the object by calculating the object’s weak constraints. …”
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Undergraduates Project Papers -
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Development of high quality speech compression system for Quranic recitation based on modified CELP algorithm
Published 2013“…Instead of random Gaussian signal, we trained the codebook using LBG algorithm for Surah Al-Fatihah, and used the trained codebook for the whole Quran. …”
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Proceeding Paper -
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PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM
Published 2011“…This research focuses on the use of binaryencoded genetic algorithm (GA) to implement efficient search strategies for the optimal architecture and training parameters of a multilayer feed-forward ANN. …”
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Accelerated mine blast algorithm for ANFIS training for solving classification problems
Published 2016“…ANFIS accuracy depends on the parameters it is trained with. Keeping in view the drawbacks of gradients based learning of ANFIS using gradient descent and least square methods in two-pass learning algorithm, many have trained ANFIS using metaheuristic algorithms. …”
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks
Published 2008“…The developed algorithm is effectively trained, verified and validated with a set of training, dedicated testing and validation data respectively.…”
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Conference or Workshop Item -
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Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks
Published 2009“…The developed algorithm is effectively trained, verified and validated with a set of training, dedicated testing and validation data respectively.…”
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Conference or Workshop Item -
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Analysis of training function for NNARX in solar radiation prediction modeling
Published 2022“…In this paper, the analysis of the Training Function algorithm for solar radiation prediction modeling development using NNARX is carried out using MATLAB R2019a software. …”
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Conference or Workshop Item -
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REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION
Published 2006“…In order to overcome latency problem, this research is an attempt to suggest a new prediction algorithm based on heuristic that could be used to develop a more effective and general system for virtual training applications. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…The combined influence of the genetic algorithm and correlation analysis are used in this technique. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…In designing the network, a combination of back propagation or generalized delta learning rule with sigmoid transfer function has been used. The machining data available in MDH was used to train the designed network. …”
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Thesis