Wyniki wyszukiwania dla: ARTIFCIAL INTELLIGENCE

• Evolving neural network as a decision support system — Controller for a game of “2048” case study

  Publikacja

  • A. Kwasigroch
  • M. Grochowski

  - Rok 2016

  The paper proposes an approach to designing the neuro-genetic self-learning decision support system. The system is based on neural networks being adaptively learned by evolutionary mechanism, forming an evolved neural network. Presented learning algorithm enables for a selection of the neural network structure by establishing or removing of connections between the neurons, and then for a finding the beast suited values of the network...

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• Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation

  Publikacja

  • K. Ledwosiński
  • P. Czapla
  • T. Kocejko
  • J. Kang-Hyun

  - Rok 2023

  Machine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...

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