Search Results - (( some application learning algorithm ) OR ( its application new algorithm ))*
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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Proceeding Paper -
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Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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Development of a genetic algorithm controller for cartesian robot
Published 2008“…In some daily tasks such as drilling, laser marking or spot welding application, the Cartesian robot is requested to reach with its hand tip to a desired target location. …”
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…Internet has inspired the rapid development of wide range of network application such as Tele-Conferencing, Distance-Learning, Tele-Medicine etc, in which real time video delivery plays an important role. …”
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A Study on Abstract Policy for Acceleration of Reinforcement Learning
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Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…Deep Neural Network (DNN) is a combination method between two different subfields of Machine Learning application, including the Artificial Neural Network (ANN) and Deep Learning (DL). …”
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Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
Published 2003“…However, up to now there has been little further work reported pertaining to its improvements or applications. As a result, this research extends the initial work by examining its potential improvements and applicability in a new real world task such as the protein secondary structure prediction. …”
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Corrosion Inhibition Study Of Carboxymethyl Celluloseionic Liquid Via Electrochemical And Machine Learning Technique
Published 2024journal::journal article -
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Modular deep neural network in reducing overfitting to enhance generalization / Mohd Razif Shamsuddin
Published 2024“…Machine Learning (ML) and Artificial Intelligence (AI) are a hype in this new age. …”
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Therefore, this thesis explores and studies public hardhat datasets, deep learning algorithms, power Internet of Things (PIoT), and edge computing to address the above issues. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
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Hand Gesture Recognition Using Artificial Neural Networks
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Thesis
