Automatic Equation Solver - A Technology Enhancement For Instructional Automation
9 Pages Posted: 7 Sep 2019
Date Written: August 30, 2019
Mathematics plays an important role in everybody’s life. We mainly depend on calculators available in our electronic gadgets to solve mathematical equations. Calculators available in these gadgets are so advanced that it can solve most complex mathematical equations. Remembering the fact that almost all electronic gadgets are touch screen based now-a-days, developing a system that recognizes and solves mathematical equations from handwriting is a potential area of research. This work develops an automatic equation solver, which solves the mathematical equations written by different persons. Neural network approach is used for recognition of the symbols and alphabets. The system is able to recognise alphabets, all the numbers, mathematical symbols and some special symbols. The system is successful in solving polynomial equations of power up to degree 9, system of linear equations with 2 and 3 variables having finite, infinite and no solutions. The system gives a recognition accuracy of 90% out of the 60 equations tested.
Keywords: Equation solver, Instructional automation, Binarization, Back propagation neural network
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