Concurrent Support Vector Machine Processor for Disease Diagnosis
نویسندگان
چکیده
The Concurrent Support Vector Machine processor (CSVM) that performs all phases of recognition process including kernel computing, learning, and recall on a chip is proposed. The classification problems of bio data having high dimension are solved fast and easily using the CSVM. Hardware-friendly support vector machine learning algorithms, kernel adatron and kernel perceptron, are embedded on a chip. Concurrent operation by parallel architecture of elements generates high speed and throughput. Experiments on fixed-point algorithm having quantization error are performed and their results are compared with floating-point algorithm. CSVM implemented on FPGA chip generates fast and accurate results on high dimensional cancer data.
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