Search Results - (( developing neural using algorithm ) OR ( java segmentation using algorithm ))
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1
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Book -
2
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
3
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar
Published 2006“…Back propagation neural network algorithm was used to develop and produce the classifier for corner detector algorithm. …”
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5
Identification algorithms of flexible structure using neural networks
Published 2006“…Furthermore, non-parametric models of the system are developed using Multi-layer Perceptron Neural Networks (MLP-NN) and Elman Neural Networks (ENN). …”
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Conference or Workshop Item -
6
Toxic Gas Dispersion Model Based On Neural Pattern Recognition Networks
Published 2022“…Thus, in this study, development of deep neural network is carried out using MATLAB. …”
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Monograph -
7
Application Of Neural Network In Malaria Parasites Classification
Published 2006“…The first stage of this project is to develop the neural network using MATLAB Neural Network Toolbox and Borland C++ Builder. …”
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Monograph -
8
Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm
Published 2019“…This reduces the number of training samples by 16.1%, validation samples by 14.7% and neural model development time by 23%. Besides that, the use of the prior knowledge input neural network (PKI-ANN) and the prior knowledge input difference neural network (PKID-ANN) for the modeling of high dimensional SI problem is proposed. …”
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9
A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…Genetic algorithm and simulated annealing techniques are used to optimize the control parameters of the neural network. …”
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Article -
10
A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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11
Logic Programming In Radial Basis Function Neural Networks
Published 2013“…The second technique is to compute the single step operator of logic programming in radial basis function neural networks. I used different types of optimization algorithms to improve the performance of the neural networks. …”
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12
Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…Bat algorithm is an optimizer tool and developed using of echolocation characteristics of bats, while the neural network is learning methods that approach the human brain using artificial neurons. …”
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Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
Published 2007“…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. …”
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Article -
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Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin
Published 2014“…Bat algorithm is an optimizer tool and developed using of echolocation characteristics of bats, while the neural network is learning methods that approach the human brain using artificial neurons. …”
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Thesis -
15
The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach
Published 2001“…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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Identification algorithms of flexible structure using neural networks
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The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim
Published 2006“…This project has developed a user-friendly pattern recognition system by using MATLAB GUI. …”
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Research Reports -
18
Letter recognition using backpropagation algorithm
Published 2010“…The objective of tbi project is to implement Backpropagation Neural Network for letter recognition task. This application will be developed using C++ Builder. …”
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Undergraduates Project Papers -
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Development of intelligent 3D solid modeler based on artificial intelligent technique
Published 2008“…The neural network models and the hybrid algorithm have been tested and validated on three solid models namely cube, L-block and stair by using Matlab 7.14 software. …”
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Monograph -
20
