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An Approach to Measure the Densities of Solids using an Artificial Neural Network

Abstract A dedicated microcontroller based density measurement system is developed to measure densities of solids. A data acquisition system is designed and fabricated using a PIC16F877 microcontroller. To measure the weight and temperature of the sample, strain gauge and thermocouple sensors are used. A three layer neural network is used to train the data for atomic number, temperature, and density of sample using a back propagation algorithm. After training the neural network, it is used to compute the density at various temperatures.