FPGA implementation of back propagation neural network

FPGA implementation of back propagation neural network

This project presented a backpropagation neural network on FPGA which can conduct inference and training processes for linear and non-linear problems. The network structure chosen contains 3 input nodes, one hidden layer with three neuron units and 1 output node. In addition, this project compare...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Li, Jianing
مؤلفون آخرون:	Zheng Yuanjin
التنسيق:	Thesis-Master by Coursework
اللغة:	English
منشور في:	Nanyang Technological University 2022
الموضوعات:	Engineering::Electrical and electronic engineering::Applications of electronics
الوصول للمادة أونلاين:	https://hdl.handle.net/10356/159255
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

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Partial discharge propagation studies in generator and transformer
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Modelling of partial discharge propagation in power transformer
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Modelling of partial discharge propagation in power generator
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Channel modeling and FPGA implementation for magnetic recording
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Design and implementation of a digital system on FPGA
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Aspects of encoder implementation in the context of neural networks
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Design and implementation on an anomaly detection scheme supported by neural networks
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A 34-fps 698-GOP/s/W binarized deep neural network-based natural scene text interpretation accelerator for mobile edge computing
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Analysis and implementation of backpropagation neural networks on heterogeneous processor arrays
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An AI-based image enhancement system with its FPGA implementation
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