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This article demonstrates the use of micro-electromechanical systems (MEMS) to perform an efficient classification problem. Classification using digital computers is inefficient due to its power requirement and the separation between memory and processing units. As a proof of concept, the basic signal classification has been performed using a network of only three mechanically coupled devices. The classification has occurred at the hardware level rather than using a digital computer. The classification problem involves distinguishing between a ramp signal and a step input signal. In this demonstration, a three-degree-of-freedom model was built for the proposed network in MATLAB. The detailed simulation results were extracted to validate the network operation and sensitivity to operating conditions. Next, the device network hardware was fabricated and tested to perform the required classification problem. Good agreement between simulation and experiment is demonstrated.