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 20 of 49 for “"neural net"”.
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Development and VLSI implementation of a new neural net generation method
… begins with a short introduction to current neural network practices and pitfalls including an in depth discussion of the meaning behind the equations. Specifically, a description of the underlying processes involved is given which likens training to the biological process of cell …
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Control and Convolutional Neural Net Based Pose Estimation for On-Orbit Assembly
… feasibility. TESSERAE, or Tessellated Electromagnetic Space Structures for Exploration of Reconfigurable Adaptive Environments, a project out of the MIT Media Lab Space Exploration Initiative, is a multi-year research effort to develop a set of self-assembling, decentralized tiles that use …
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Convolutional Neural Net Models and Image Processing Methods for Predicting Surgical Site Infection
… image of a wound and then apply a convolutional neural network (CNN) model to identify features of infection. For this thesis, I have explored both RGB images captured using a mobile phone camera and also thermal images captured using an external thermal camera module. The data for this work was …
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Single-Phase, Single-Switch, Sensorless Switched Reluctance Motor Drive Utilizing a Minimal Artificial Neural Net
Artificial Neural Networks (ANNs) have proved to be useful in approximating non- linear systems in many applications including motion control. ANNs advocated in switched reluctance motor (SRM) control typically have a large number of neurons and several layers which impedes their real time …
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Fourier and Laplace Transform Methods for Linear Spatial-Temporal Neural Net Modelling, Applied to the Cerebellum
Made available in DSpace on 2014-12-14T05:40:41Z (GMT). No. of bitstreams: 1 7606940.pdf: 2472491 bytes, checksum: cf07bc705beffcd135fe2359a49e275b (MD5) Previous issue date: 1975
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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 neural network applications using LabVIEW
Artificial Neural Networks (ANN) have gained tremendous popularity over the last few decades. They are considered as substitutes for classical techniques which have been followed for many years. Many neural network architectures and training algorithms have been developed so far. Different aspects …
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Approximation of CPU code using neural networks
… function compared to an equivalent CPU function. Neural nets are fairly general purpose tools which can perform pattern recognition or arithmetic operations on a block of input data and produce a corresponding block of output data. The aim of this project is to be able to select a fairly arbitrary …
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Interpretable Deep Image Denoiser by Unrolling Graph Laplacian Regularizer
… minima. This thesis proposes an image denoising neural net constructed by unrolling an iterative algorithm solving a maximum a posteriori (MAP) optimization problem regularized using a graph Laplacian prior. To guarantee a minimum level of performance, we initialize the network to a known …
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Global estimation of precipitation using opaque microwave bands
… components whose outputs are fed into a neural net to produce a rain rate estimate for each 15-km spot. The signal processing components utilize techniques such as principal component analysis for characterizing groups of channels, spatial filtering for cloud-clearing brightness …
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A flexible and innovative platform for autonomous mobile robots
… framework to facilitate implementation of neural net architectures by users. The work described in this thesis includes a set of macros that expand the CREAL language to allow user-friendly creation of neural nets. This abstraction framework is then put into use in an implementation that …
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Applying Neural Networks for Tire Pressure Monitoring Systems
… monitoring system is developed using neural net- works to identify the tire pressure of a vehicle tire. A quarter-car model was developed with Matlab and Simulink to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network …
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Investigating Aerosol Composition with Low Cost Optical Particle Counters
… in concert with a simple fully connected neural net. Simulated effects of thermal denuders as well as dryers/humidifiers are used to perturb aerosols before they enter simulated low-cost optical particle counters (OPCs). This provides information on the volatility and hygroscopicity of the …
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Applying Artificial Intelligence and Mobile Technologies to Enable Practical Screening for Diabetic Retinopathy
… of an image processing pipeline and a neural net algorithm that automatically tests image quality (based on brightness, color, and amount of blur), rejects poor quality images, and re-formats each image into a standard image resolution. In order to create a generalized model, I used a …
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Smarter NEAT Nets
… to improve usability and functionality of a ge- netic neural net algorithm called NEAT (NeuroEvolution of Augmenting Topolo- gies). The modification aims to accomplish its goal by automatically changing parameters used by the algorithm with little input from a user. The advan- tage of the …
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Text-Driven Movie Manipulation
… method consisted of training a video-specific neural net model with an existing architecture for extracting keypoints, manipulating a representative frame to fit the user’s textual description through latent optimization, and producing a new video in a single forward pass. Our method requires …
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Modelling Outcomes in Canadian Professional Football via Generalized Bradley-Terry Models
… (MM) algorithms and descriptions Artificial Neural Net- work (ANN) processes that can be leveraged to estimate such models' parameters. Various candidate models, parameterized by regular-season CFL game outcomes from 2004-2017, are performance-tested against post-season playoff game outcomes …
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3D reconstruction of human body via machine learning
… is composed of an end-to-end 3D reconstruction neural net with a skinned multi-person linear model (SMPL) model by the generative adversarial networks (GANs). The 3D facial reconstruction used the morphable facial model by principal component analysis (PCA) and the LS3D-W database. The 3D …
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Design and evaluation of a novel convolutional neural network for short-term vehicle multi-traffic prediction
… In this thesis, we propose a convolutional neural net-work model that performs traffic forecasting for all three parameters, using historical integrated traffic data over a large area. The proposed model also predicts all three parameters for all 5-minute intervals from the initial time up …
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Simulating prediction markets that include human and automated agents
… performance of these markets. I start with the neural net-based agent that is currently used in CCI's collective prediction experiments on football plays. By tuning their training and risk affinity, I configure a "smart" agent to represent the sophisticated computer traders. I implement three …
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