Autor: Plichta, A. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Application of Neural Networks to the Process of Gaining and Consolidating the Knowledge
Autorzy:: Plichta, A.
Powiązania:: https://bibliotekanauki.pl/articles/308445.pdf
Data publikacji:: 2012
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: e-learning
neural networks
orthography
Opis:: The e-learning course is one of the most efficient and promising didactic policies. It must be grounded on the revision because it was proved that it enhances the longterm memory. However, human mind is not a uniform phenomenon. Each man memorizes and learns in a different manner. The purpose of the intelligent e-learning system presented in this paper is to teach orthography and this system is based on the multilayer neural network. Such structure enables a learner to adjust the crucial period between revisions to personal learning habits and policy.
Źródło:: Journal of Telecommunications and Information Technology; 2012, 1; 90-95
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Recognition of the numbers in the Polish language
Autorzy:: Plichta, A.
Gąciarz, T.
Krzywdziński, T.
Powiązania:: https://bibliotekanauki.pl/articles/308844.pdf
Data publikacji:: 2013
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: Automatic Speech Recognition
compressed sensing
Sparse Classification
Opis:: Automatic Speech Recognition is one of the hottest research and application problems in today’s ICT technologies. Huge progress in the development of the intelligent mobile systems needs an implementation of the new services, where users can communicate with devices by sending audio commands. Those systems must be additionally integrated with the highly distributed infrastructures such as computational and mobile clouds, Wireless Sensor Networks (WSNs), and many others. This paper presents the recent research results for the recognition of the separate words and words in short contexts (limited to the numbers) articulated in the Polish language. Compressed Sensing Theory (CST) is applied for the first time as a methodology of speech recognition. The effectiveness of the proposed methodology is justified in numerical tests for both separate words and short sentences.
Źródło:: Journal of Telecommunications and Information Technology; 2013, 4; 70-78
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

Artykuł

Informacja