Digital Circuit Design using Support Vector Machines

In this project we are designing digital circuits those are implemented by using SVM classifiers. Digital circuits are preferred over its analog counterpart with the invention of microprocessors, microcontrollers, digital signal processors and field programmable gate arrays (FPGA). Support vector machine is considered as a state of art tool for pattern recognition. We are studying a novel methodology to assess and design digital circuits using two class and multi class support vector classifiers. In order to reduce the number of support vectors, an optimum threshold technique based SVM classifier is employed for the design of digital circuits.