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- W3046322881 abstract "In this paper,one of the machine learning algo- rithm namely Linear Regression is implemented in Field ProgrammableGate Array(FPGA).Combination of programmabil- ity,performance and flexibility can be achieved using FPGAand that is the reason for preferring FPGA as the hardware architecture for machine learning purposes.It also provides lowlatency.In this work, the dataset was given to the hardware and trained using the method of Least Square Approximation.Thedesign was successful in synthesising and implementing with a total on-chip power of 137mW.The model has been verified,simulated and synthesised in Artix-7 FPGA Board using Verilog HDL. The simulations were also presented in MatlabandPython." @default.
- W3046322881 created "2020-08-07" @default.
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- W3046322881 date "2020-01-01" @default.
- W3046322881 modified "2023-09-26" @default.
- W3046322881 title "HARDWARE IMPLEMENTATION OF SIMPLE LINEAR REGRESSION AND ITS MODELLING INPYTHON AND MATLAB" @default.
- W3046322881 hasPublicationYear "2020" @default.
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