Method for Restoring Audio Signal Using Convolutional Neural Networks
نویسندگان
چکیده
This paper describes a research of the restoring distorted audio signal possibility. Based on previously obtained results using deep machine learning methods, concept neural network to correct has been developed. On basis originally results, several new architectures were developed, focused restoring. The contains descriptions developed with theoretical substantiation possibility their application. presented tested solve problem part specifc instrument in musical composition where it was removed. testing networks are forms.
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در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
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ژورنال
عنوان ژورنال: Vestnik Novosibirskogo gosudarstvennogo universiteta
سال: 2023
ISSN: ['1818-7919']
DOI: https://doi.org/10.25205/1818-7900-2022-20-3-38-50