Reverse mapping model of MR damper based on LSTM

The invention discloses a reverse mapping model of an MR damper based on LSTM, which comprises an input layer, an output layer and a plurality of hidden layers, each hidden layer comprises a plurality of network units, and each network unit comprises an input gate, a forgetting gate, an output gate and a unit state. The input gate is used for controlling the ratio of the input information at the current moment to the unit state at the current moment, the forgetting gate is used for controlling the ratio of the unit state at the previous moment to the unit state at the current moment, and the output gate is used for controlling the number of the current unit state Ct which can be used as the current output value ht; and the output layer is also connected with a single-layer full-connection neural network for outputting features. According to the reverse mapping model of the MR damper based on the LSTM, semi-active control of the structure is achieved, the problem that a controller of a semi-active control syst