Improved neural network for emotional analysis of music data
Publish place: 1th conference on the opportunities and challenges of artificial intelligence and new technologies in industry and mining
Publish Year: 1403
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
AITIM01_045
تاریخ نمایه سازی: 14 مرداد 1403
Abstract:
This paper improves differential evolution algorithm via combining five keyoperations. This paper employs differential evolution algorithm to optimize parameters ofCNNs for music emotion recognition tasks. The proposed DE-CNN approach effectivelyidentifies optimal parameters and structures for CNNs.
Authors
Samaneh Soradi-Zeid
Faculty of Industry and Mining, University of Sistan and Baluchestan, Zahedan, Iran
Seyede Toktam Mousavi
Secretary of Education of Khorasan Razavi