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- W263001381 abstract "This model describes a new way for students majoring in music training to teach specific topics in advanced music system. Projects are typically designed to address the lack of enthusiasm and participation, so that the end of course students have extraordinary interest to learn music. The music teaching of the student with help of neural network and FPGA, after that the learning is completed to conduct the examination process about the music course to validate the student. A minimal effort range analyzer works from a modified FPGA (Field Programmable Gate Array) board. The neural network is used to create the platform of music student and to reduce the risk of data management in the class room. The processing of the network depends on the weight of the connections between those nodes that have been trained or adapted to the training dataset, and this process is commonly referred to as network training or learning. Not only are the students improving performance, therefore in this system compared to the significance of the existing model educated in this music course. A few understudies have likewise demonstrated compassion towards traditional music that they had never heard." @default.
- W263001381 created "2016-06-24" @default.
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- W263001381 date "1994-10-01" @default.
- W263001381 modified "2023-09-23" @default.
- W263001381 title "High-level synthesis" @default.
- W263001381 doi "https://doi.org/10.1016/0141-9331(94)90097-3" @default.
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