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these data, this ANN model can be expected to be very useful in practice
for the design and control of brick production process. h e model could
even be improved by increasing the laboratory experiments database or by
making industrial analysis in as many as possible brick factories.
Acknowledgement
h e authors are grateful to the Serbian Ministry of Science and Technological
Development for the i nancial support of this investigation included in the
projects III 450080 and TR 31055, project cycle 2011-2014.
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