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- W2738549818 abstract "General neural network realizations are in integrated circuit forms. Therefore they are expensive to produce for many non commercial applications. Instead of designing a chip, using a cheap, standard microcontroller for neural network realization will be an optimum solution for many neural network applications. In this work, a Multi Layer Perceptron (MLP) neural network was realized by programming the ATMEL 89C51 microcontroller. Training of the network was performed in MATLAB 6.1 environment and weight and bias values were taken from the program. Microcontroller programmed was tested using both training and test data and the results were concluded." @default.
- W2738549818 created "2017-07-31" @default.
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- W2738549818 date "2003-01-01" @default.
- W2738549818 modified "2023-09-26" @default.
- W2738549818 title "MICRONTROLLER BASED NEURAL NETWORK REALIZATION AND IRIS PLANT CLASSIFIER APPLICATION" @default.
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