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Abstract—Adaptive control of complex manufacturing processes can provide significant improvements in production rate and product quality. To maximize these advantages, the adaptive control system must be capable of making accurate measurement of process per- formance. This paper describes the implementation of a general- purpose performance computer which makes use of a combination of two techniques: trainable pattern recognition and linear regression. The description covers the system concept, the training procedures or algorithms, and the detailed design.