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  • Artikel  (3)
  • 2020-2024
  • 2020-2022
  • 2015-2019  (3)
  • 1975-1979
  • Entropy  (3)
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  • Physik  (3)
  • Elektrotechnik, Elektronik, Nachrichtentechnik
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  • Artikel  (3)
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  • 2020-2024
  • 2020-2022
  • 2015-2019  (3)
  • 1975-1979
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  • 1
    Publikationsdatum: 2016-07-09
    Beschreibung: Conventionally, the maximum likelihood (ML) criterion is applied to train a deep belief network (DBN). We present a maximum entropy (ME) learning algorithm for DBNs, designed specifically to handle limited training data. Maximizing only the entropy of parameters in the DBN allows more effective generalization capability, less bias towards data distributions, and robustness to over-fitting compared to ML learning. Results of text classification and object recognition tasks demonstrate ME-trained DBN outperforms ML-trained DBN when training data is limited.
    Digitale ISSN: 1099-4300
    Thema: Chemie und Pharmazie , Physik
    Publiziert von MDPI Publishing
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Publikationsdatum: 2015-06-10
    Beschreibung: An encryption scheme for colour images using a spatiotemporal chaotic system is proposed. Initially, we use the R, G and B components of a colour plain-image to form a matrix. Then the matrix is permutated by using zigzag path scrambling. The resultant matrix is then passed through a substitution process. Finally, the ciphered colour image is obtained from the confused matrix. Theoretical analysis and experimental results indicate that the proposed scheme is both secure and practical, which make it suitable for encrypting colour images of any size.
    Digitale ISSN: 1099-4300
    Thema: Chemie und Pharmazie , Physik
    Publiziert von MDPI Publishing
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Publikationsdatum: 2018-09-11
    Beschreibung: Entropy, Vol. 20, Pages 689: Evaluation of Sustainability Information Disclosure Based on Entropy Entropy doi: 10.3390/e20090689 Authors: Ming Li Jialin Wang Ying Li Yingcheng Xu Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided.
    Digitale ISSN: 1099-4300
    Thema: Chemie und Pharmazie , Physik
    Publiziert von MDPI Publishing
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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