Implementation of FPGA-Based General Purpose Artificial Neural Network

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Provided by: IT Society of India (ITSI)
Topic: Hardware
Format: PDF
The usage of the FPGA (Field Programmable Gate Array) for neural network implementation provides flexibility in programmable systems. For the neural network based instrument prototype in real-time application, conventional specific VLSI neural chip design suffers the limitation in time and cost. With low precision artificial neural network design, FPGAs have higher speed and smaller size for real-time application than the VLSI design. In addition, artificial neural network-based on FPGAs has fairly achieved with classification application.
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