Fig. 2. Behaviors learning using MNNs.
a The symmetric output under the applied force of the MNN before training. The top panel shows the configuration of mechanical networks. The bottom panel shows the simulated and experimental vertical displacements uy of two nodes. b The loss and the absolute difference of vertical displacements of two nodes ∣Δuy∣ as a function of iteration in the training process. c The asymmetric output under the applied force as a result of the training. The top panel shows the configuration of MNNs. The bottom panel shows the simulated and experimental vertical displacements uy of two nodes. The blue triangles, red dots and cyan stars in the top panels of (a, c) represent the fixed nodes, the input node and the output nodes, respectively. The error bars in the bottom panels of (a, c) are calculated based on standard deviation of three independent experiments. Source data are provided as a Source Data file.