Search Results - (( developing human function algorithm ) OR ( based application learning algorithm ))
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1
RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION
Published 2010“…This thesis proposes derivative free learning, using finite difference, methods for fixed size RBF network in comparison to gradient based learning for the application of system identification. …”
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2
Mobile application for blood donation using geolocation and rule-based algorithm / Muhammad Firzan Azrai Nuzilan and Mohd Ali Mohd Isa
Published 2021“…Iterative Waterfall model that consisting of requirement analysis, design, system development, testing, and documentation helped the process of developing the application effectively because it consists of step by step process. …”
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Book Section -
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
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4
Stock price monitoring system
Published 2024“…This project is a development-based project with deep learning approach for academic purpose. …”
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Final Year Project / Dissertation / Thesis -
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Implementation of machine learning algorithms for streamflow prediction of Dokan dam
Published 2023“…This study aims at comparing the application of deep learning algorithms and conventional machine learning algorithms for predicting reservoir inflow. …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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7
Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama
Published 2016“…Associative memory is essential to human activity. In the past decades, several artificial neural associativememorymodels have been developed and were expected to provide a new perspective for the modeling of the human brain, and these models were expected to form the basis for a robot to exhibit human-like behavior. …”
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8
Adaptive complex neuro-fuzzy inference system for non linear modeling and time series prediction
Published 2013“…The development sequence of such method can be divided into two parts: Developing network structure to employ complex fuzzy logic and proposing learning algorithm to train the system. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…Among the available learning algorithms in the Neural Network Toolbox of MATLAB, three algorithms, gradient descent back propagation (TRAINGD), gradient descent with adaptive learning rule back propagation (TRAINGDA) and the Levenberg-Marquardt (TRAINLM) were studied. …”
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10
Air pollution forecasting in Kuala Terengganu using Artificial Neural Network (ANN) / Nur Raudzah Abdullah
Published 2020“…Existing researches on air pollution forecasting used a variety of machine learning algorithm. One of the popular algorithms used to forecast the air pollution is Artificial Neural Network (ANN). …”
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11
A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…It can help in developing control systems for many applications such as in telephone assistance systems. …”
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12
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…Furthermore, only two patterns were used.In this thesis, context-based word recognition learning system was developed. 6 words that need context-based recognition function for the words to be recognized were chosen. …”
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13
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…In this thesis, context-based word recognition learning system was developed. 6 words that need context-based recognition function for the words to be recognized were chosen. …”
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14
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…Furthermore, only two patterns were used.In this thesis, context-based word recognition learning system was developed. 6 words that need context-based recognition function for the words to be recognized were chosen. …”
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Undergraduates Project Papers -
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Automate customer support handling E-Commerce enquiry using ChatGPT
Published 2024“…The project scope is the development of a comprehensive mechanism for context handling, an inconspicuous human takeover process, and the summarization of entire conversations between customers and automated customer support before handover to human agents. …”
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Final Year Project / Dissertation / Thesis -
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Digital assistant for workspace apps
Published 2022“…Microsoft Teams, act as an instance of digital workspace is a platform for business collaboration developed by Microsoft to offer functions of workspace chat and videoconferencing, file storage, and application integration to increase an organization’s work efficiency. …”
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Final Year Project / Dissertation / Thesis -
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Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…EMG signal based reliable and efficient hand gesture identification can help to develop good human computer interface which in turn will increase the quality of life of the disabled or aged people. …”
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Proceeding Paper -
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Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model
Published 2004“…A typical or fixed sigmoid function method is used in learning phase. In the recognition phase, an adaptive sigmoid function is employed. …”
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19
Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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20
Zero distortion-based steganography for handwritten signature
Published 2018“…To the best of our knowledge, this is the first time that a human handwritten signature sample is used for steganography application. …”
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