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Hamiltonian systems have a property called variational symmetry which can be used to estimate the input-output mapping of the variational adjoint for certain input-output mappings of the systems.
Fig. 2 a Input-output mapping.
The non-linear static input-output mapping of the system is not one-to-one [16].
where fANN denotes the input-output mapping function implemented by the ANN.
Pilot survey experimental non-linear input-output mapping data are used for the design of neuro-controller.
A new dynamic neural network structure is utilised to model the unknown plant dynamics through modelling the input-output mapping.
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The important thing is that the NN is able to generalize the input output mapping and estimates the outputs for new data which were not applied to the NN for training before.
In this paper, monotonicity of input output mapping related to inverse elastoplastic torsional problem is studied.
The wind speed estimation is realized by a nonlinear input output mapping extreme learning machine (ELM).
It consumes less power by recovering bit loss from its unique input output mapping.
Learning process of ANN model follows an input output mapping and adapts their synaptic weights.
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