Sökning: "Artificial Neural Networks"

Visar resultat 1 - 5 av 251 uppsatser innehållade orden Artificial Neural Networks.

  1. 1. Pulse Repetition Interval Time Series Modeling for Radar Waves using Long Short-Term Memory Artificial Recurrent Neural Networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Adam Lindell; [2019]
    Nyckelord :;

    Sammanfattning : This project is a performance study of Long Short-Term Memory artificial neural networks in the context of a specific time series prediction problem consisting of radar pulse trains. The network is tested both in terms of accuracy on a regular time series but also on an incomplete time series where values have been removed in order to test its robustness/resistance to small errors. LÄS MER

  2. 2. Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :THOMAS BINDER; [2019]
    Nyckelord :segmentation; deep learning; convolutional neural networks; machine learning; artificial intelligence;

    Sammanfattning : The analysis of glandular morphology within histopathology images is a crucial step in determining the stage of cancer. Manual annotation is a very laborious task. It is time consuming and suffers from the subjectivity of the specialists that label the glands. LÄS MER

  3. 3. A Data-Driven Approach For Automatic Visual Speech In Swedish Speech Synthesis Applications

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Joel Hagrot; [2019]
    Nyckelord :;

    Sammanfattning : This project investigates the use of artificial neural networks for visual speech synthesis. The objective was to produce a framework for animated chat bots in Swedish. A survey of the literature on the topic revealed that the state-of-the-art approach was using ANNs with either audio or phoneme sequences as input. LÄS MER

  4. 4. Automatic Handwritten Digit Recognition On Document Images Using Machine Learning Methods

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Akkireddy Challa; [2019]
    Nyckelord :Handwritten Digit Recognition; Handwritten Digit Segmentation; Handwritten Digit Classification; Machine Learning Methods; Deep Learning; Image processing on document;

    Sammanfattning : Context: The main purpose of this thesis is to build an automatic handwritten digit recognition method for the recognition of connected handwritten digit strings. To accomplish the recognition task, first, the digits were segmented into individual digits. LÄS MER

  5. 5. Deep learning navigation for UGVs on forests paths

    Magister-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Linus Lind; [2018]
    Nyckelord :;

    Sammanfattning : Artificial intelligence and machine learning have seen great progress in recent years. In this work, we will look at the application of machine learning in visual navigational systems for unmanned vehicles in natural environments. LÄS MER