1. A method for monitoring an adjustment movement of a component in a motor vehicle, the component being driven by a drive device and being adjustable in a translatory or rotary fashion, the method comprising: inputting, at input neurons of an input layer of a neural network, a plurality of input signals being derived from the drive device and representing a deceleration of the adjustment movement of the drive device; and utilizing an adaptation device comprising an additional neural adaptation network; wherein the neural network comprises at least one hidden layer having hidden neurons and an output layer having at least one output neuron, said neural network outputting, at the at least one output neuron of the output layer, an output value corresponding to one of an adjusting force, a trapped state and a nontrapped state of the component; wherein the deceleration of the adjustment movement of the drive device is determined from a change in at least one of a period length, a motor current, and a motor voltage of a drive motor of the drive device; wherein the neural adaptation network calculates, from an actual period length at an actual motor voltage, a reference period length at a reference voltage, the reference period length being dependent on a position of the component being driven by the drive device; and wherein the neural adaptation network inputs the reference period length to an input neuron of the neural network as an additional input signal.