Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Neural Computing"”.
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Snap-drift neural computing for intelligent diagnostic feedback
… Previously, a snap-drift modal learning neural network has been applied to improve the feedback mechanisms of computer-based formative assessments. This study investigated the application of snap-drift modal learning neural network for analysing student responses to a set of multiple …
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Moving Toward Intelligence: A Hybrid Neural Computing Architecture for Machine Intelligence Applications
… learning and decision-making, general-purpose computing systems or cloud infrastructures are often deployed to train a large-scale neural network, resulting in a colossal amount of resources in use while themselves exposing other significant security issues. Among potential approaches, the …
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An investigation of neural computing applied to the ambulatory monitoring of the electrocardiogram
… classification technique based on artificial neural networks (ANNs) was selected for further research. It is shown that whilst techniques based on artificial neural networks are capable of performing the required pattern recognition task, results are presented to demonstrate that the …
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A study of using backpropagation and a new neural net algorithm for edge detecting in binary images
… research is to explore the possibility of using neural computing algorithms for edge detection in binary images. This paper presents the following : 1. the experimental results of using the basic backpropagation algorithm for edge detecting in binary images. 2. the development of a new neural …
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Developing a Neural Signal Processor Using the Extended Analog Computer
Neural signal processing to decode neural activity has been an active research area in the last few decades. The next generation of advanced multi-electrode neuroprosthetic devices aim to detect a multiplicity of channels from multiple electrodes, making the relatively time-critical processing …
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Neural Networks in Bioprocessing and Chemical Engineering
… fundamental principles and practical aspects of neural networks, focusing on their applications in bioprocessing and chemical engineering. This study introduces neural networks and provides an overview of their structures, strengths, and limitations, together with a survey of their potential and …
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Prediction and control in a just-in-time environment using neural networks
… factors. This research investigates using neural computing (neural networks) to identify endogenous factors (shop conditions) and exogenous factors (product demand and supplier schedules) that are correlated with kanban system performance and to predict the optimal number of kanbans based …
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Polychronization as a mechanism for language acquisition in spiking neural networks
… described as the self-organization of a spiking neural network as a result of the interplay between network structure, spiking activity, and synaptic plasticity. What emerges are groups of neurons exhibiting time-locked patterns of spiking, reproducible spatio-temporal stamps consisting of the …