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.
Results
Showing 1 to 20 of 59 for “"neural network approach"”.
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Environmental site characterization via artificial neural network approach
… soil in any contaminated zones. Back-propagation networks were also used to characterize the MMR Demo 1 site. The purpose of the developed ANN models was to predict the concentrations of perchlorate at the MMR from appropriate input parameters. To determine the most-appropriate input parameters …
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Knowledge discovery in biological databases : a neural network approach
… and so forth. In this dissertation, we present a neural network approach to finding knowledge in biological databases. Specifically, we propose new methods to process biological sequences in two case studies: the classification of protein sequences and the prediction of E. Coli promoters in DNA …
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A deep convolutional neural network approach for biomedical applications.
… subset of machine learning that uses multi layer neural networks to perform desired tasks by using trained models. Neural networks are nonlinear mapping systems whose structure and function are loosely modeled on the physical structure of the nervous systems in humans and animals. In deep …
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An artificial neural network approach to transformer fault diagnosis
This thesis presents an artificial neural network (ANN) approach to diagnose and detect faults in oil-filled power transformers based on dissolved gas-in-oil analysis. The goal of the research is to investigate the available transformer incipient fault diagnosis methods and then develop an ANN …
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Modeling red pine tree mortality: An artificial neural network approach
… simulation. Multi-layer feed-forward artificial neural networks (ANN) are adopted to achieve the goal. The premise of ANN modeling approach is the ability of such networks to approximate any measurable or continuous function to any desired degree of accuracy, given enough complexity and training.
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A neural network approach to the modeling of blast furnace
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Nonlinear system identification and control using a neural network approach
… electronics systems, an empirical data modeling approach which aims at generating small-signal equivalent models and also nonlinear models for a general class of converters, including resonant converters, and subsystems in a distributed power system is presented.
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A neural network approach for generating derivative information from quantized position measurements
… We accomplish the objectives using Tap Delay Neural Networks (TDNN). We incorporate the proposed methodology into the control system of a flexible joint manipulator. Numerous simulation results show the success of our proposed scheme within robot control loops. Additionally, we compare the …
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Insurance recommendation engine using a combined collaborative filtering and neural network approach
… was designed, implemented and tested using a neural network and collaborative filtering approach. The recommendation engine aims to suggest suitable insurance products for new or existing customers, based on their features or selection history. The collaborative filtering approach used matrix …
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Scope: A Protein Force Field With An Artificial Neural Network Approach to Protein Refinement
… of these traditional force fields in ab initio approaches to protein structure determination has been unsuccessful. In this report, we introduce the software package SCOPE and its utility in evaluating and extending the currently existing force fields. SCOPE is unique in a number of ways, …
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A Back Propagation Based Spiking Neural Network Approach for Intelligent Link Decisions In Satellite Communication
A Spiking Neural Network (SNN) with neuromorphic architecture for optimal link decisions is put forward in this paper. SNNs can adapt to the various changes in the working environment quickly, for maintenance or advancement of the selected performance metrics. Such results can be appealing for …
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The Development of a Monitoring and Control System for a Pulverised Coal-Fire Burner Using Neural Network Approach
… discusses the development of an Artificial Neural Network (ANN) based Flame Monitoring and Control System (FMCS) to optimise the combustion of a pulverised coal flame.<br/><br/>A series of experiments were conducted on a 150 kW pulverised fuel burner rig based at Casella CRE Ltd. in the …
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A time-delayed neural network approach to the prediction of the hot metal temperature in a blast furnace
… sets of data). Two different time-delayed neural network (TDNN) implementations were used. The data was provided by a large steel plant located outside the United States. This work extends analysis already done by the group on this data using a multi-layer perceptron (MLP). This paper …
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Inferring the Existence of Geometric Primitives to Represent Non-Discriminable Data
… a sampling-based Markov-Chain Monte-Carlo approach together with a ray likelihood model. We then explore a neural network approach and finish by presenting a method to make the Chamfer distance differentiable with respect to primitive existence.
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Rule based learning of word pronunciations from training corpora
… phoneme accuracy, which outperforms the compared neural network approach.
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Analysis of beta-band MEG coherence in ASD during direct gaze processing: Relationship to social cognition
… but no studies have employed a more holistic neural network approach analyzing coherence (i.e., synchrony of neural oscillations) during direct gaze processing. The current study examined coherence between each pair of 54 brain regions and the relationship between average coherence and …
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G-Network for outcome prediction under dynamic intervention regimes
… prediction. This work explores a novel recurrent neural network approach to G-computation, dubbed G-Net. Many implementations of G-Net were explored and compared to the baseline, linear regression. Two independent datasets were used to evaluate the performance of G-Net: one from a physiological …
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Coverage Path Planning And Control For Autonomous Mobile Robots
… cleaners. This Thesis presents an analytical approach for generation of control inputs for a non-holonomic mobile robot in coverage control. Neural Network approach is used for complete coverage of a given area in the presence of stationary and dynamic obstacles. A complete coverage algorithm …
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Modeling Naturalistic Driver Behavior in Traffic Using Machine Learning
… literature. Two special machine learning approaches Backpropagation (BP) neural network and Neuro-Fuzzy Actor Critic Reinforcement Learning (NFACRL) are proposed to model driver behavior during car-following situation and safety critical events separately. In addition to that, as part of …
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