Search Results - (( some application learning algorithm ) OR ( its application force algorithm ))*
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A comparative study of vibrational response based impact force localization and quantification using different types of neural networks / Wang Yanru
Published 2018“…In the study, the effort to find better neural network algorithms in the application of impact force indetification continues. …”
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…The research focuses on the application of an active force control (AFC) strategy with iterative learning control (ILC) algorithms to compensate for the various introduced road profiles or 'disturbances' in a quarter car suspension system as an improvement to ride comfort performance. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…Estimating the age of the deceased bodies at the forensic scene is also essential in some instances. Traditionally, age estimation is dependent on radiographic examinations, and its application requires human competence. …”
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Early detection of dengue disease using extreme learning machine
Published 2018“…The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. …”
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Multi-Backpropagation network
Published 2002“…The learning mechanism for Neural Network is its learning 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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Applying learning to filter text
Published 2005“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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An Intelligent Active Force Control Algorithm to Control an Upper Extremity Exoskeleton for Motor Recovery
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Particle swarm optimization for neural network learning enhancement
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Software User Interface and Algorithm Development for Signal and Noise Characterization
Published 2015“…Atomic force microscopy (AFM) also known as “Scanning force microscopy (SFM)” is high resolution scanning probe. …”
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Final Year Project / Dissertation / Thesis -
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Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023text::Thesis -
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Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…This research aims to achieve greater application of inerter in passenger vehicle suspensions by studying several changes or modifications in employing the inerter and its concept. …”
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Stock indicator scanner customization tool using deep reinforcement learning
Published 2022“…This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
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Final Year Project / Dissertation / Thesis -
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Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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Motion learning using spatio-temporal neural network
Published 2020“…In such learning, it requires a target signal, in which this is not always available in some applications. …”
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Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system
Published 2022“…In this paper, we have examined and presented the most recent research on developing robust IDSs using Deep Learning (DL) algorithms, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Stacked Autoencoders (SAE), and Deep Belief Networks (DBN). …”
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