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  1. 1
    Application of artificial neural network and genetic algorithm to forecasting of wind power output

    Application of artificial neural network and genetic algorithm to forecasting of wind power output by Lin, Tzu Chao

    Published 2007
    Subjects:
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    Master's thesis
  2. 2
    Application of artificial neural network and genetic algorithm to forecasting of wind power output

    Application of artificial neural network and genetic algorithm to forecasting of wind power output by Lin, Tzu Chao

    Published 2007
    Subjects: “…artificial neural network…”
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    Master's thesis
  3. 3
    Resource discovery and allocation in peer-to-peer networks using a neural network approach

    Resource discovery and allocation in peer-to-peer networks using a neural network approach by Kotilainen, Niko

    Published 2007
    Subjects:
    Master's thesis
  4. 4
    Multidimensional scaling using multilayer perceptron

    Multidimensional scaling using multilayer perceptron by Tuovinen, Tommi

    Published 2013
    Subjects:
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    Master's thesis
  5. 5
    Convolutional neural networks and stochastic modelling in hyperspectral data analysis

    Convolutional neural networks and stochastic modelling in hyperspectral data analysis by Annala, Leevi, kirjoittaja

    Published 2020
    Subjects:
    JYX-julkaisuarkisto / JYX Digital Archive
    Linkki verkkoaineistoon
    Doctoral dissertation
  6. 6
    Convolutional neural networks and stochastic modelling in hyperspectral data analysis

    Convolutional neural networks and stochastic modelling in hyperspectral data analysis by Annala, Leevi, kirjoittaja

    Published 2020
    Subjects:
    Linkki verkkoaineistoon
    Doctoral dissertation
  7. 7
    Building NeuroSearch - intelligent evolutionary search algorithm for Peer-to-Peer environment

    Building NeuroSearch - intelligent evolutionary search algorithm for Peer-to-Peer environment by Töyrylä, Joni

    Published 2004
    Subjects:
    Master's thesis
  8. 8
    Natural language generation methods on small datasets

    Natural language generation methods on small datasets by Ahonen, Eemil

    Published 2023
    Subjects:
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    Master's thesis
  9. 9
    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders

    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders by Penttilä, Jeremias, kirjoittaja

    Published 2017
    Subjects:
    JYX-julkaisuarkisto / JYX Digital Archive
    Master's thesis
  10. 10
    Automatic sleep stage classification based on single-channel EEG

    Automatic sleep stage classification based on single-channel EEG by Zhou, Dongdong, kirjoittaja

    Published 2023
    Subjects:
    Linkki verkkoaineistoon
    Linkki verkkoaineistoon
    Doctoral dissertation
  11. 11
    Transformers for breast cancer classification

    Transformers for breast cancer classification by Lindroos, Jari

    Published 2022
    Subjects:
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    Master's thesis
  12. 12
    Deep learning architectures for hyperspectral imaging applications

    Deep learning architectures for hyperspectral imaging applications by Rahkonen, Samuli, kirjoittaja

    Published 2023
    Subjects:
    Linkki verkkoaineistoon
    Doctoral dissertation
  13. 13
    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders

    A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders by Penttilä, Jeremias

    Published 2017
    Subjects:
    Get full text Get full text
    Master's thesis
  14. 14
    Adaptation of neural nets for resource discovery problem in dynamic and distributed P2P environment

    Adaptation of neural nets for resource discovery problem in dynamic and distributed P2P environment by Ivanchenko, Yevgeniy

    Published 2004
    Subjects:
    Master's thesis
  15. 15
    Tracking a rat in an open field experiment with a deep learning-based model

    Tracking a rat in an open field experiment with a deep learning-based model by Kantola, Lauri

    Published 2021
    Subjects:
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    Master's thesis
  16. 16
    Detector-based visual analysis of time-series data

    Detector-based visual analysis of time-series data by Wartiainen, Pekka, kirjoittaja

    Published 2015
    Subjects:
    Linkki verkkoaineistoon
    Doctoral dissertation
  17. 17
    The Impact of Regularization on Convolutional Neural Networks

    The Impact of Regularization on Convolutional Neural Networks by Zeeshan, Khaula

    Published 2018
    Subjects:
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    Master's thesis
  18. 18
    On practicalities of identifying and implementing a suitable software architecture for a typical deep learning data science project

    On practicalities of identifying and implementing a suitable software architecture for a typical deep learning data science project by Kurkinen, Jani

    Published 2019
    Subjects:
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    Master's thesis
  19. 19
    Modelling musical cognition with artificial neural networks

    Modelling musical cognition with artificial neural networks by Toiviainen, Petri, kirjoittaja

    Published 2021
    Subjects:
    JYX-julkaisuarkisto / JYX Digital Archive
    Doctoral dissertation
  20. 20
    Modelling musical cognition with artificial neural networks

    Modelling musical cognition with artificial neural networks by Toiviainen, Petri, kirjoittaja

    Published 1996
    Subjects:
    JYX-julkaisuarkisto / JYX Digital Archive
    Doctoral dissertation
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