Figure 1

Structural relation between the model and the real human system. The intervention plan drives both the real system and fuzzy model, with the sampled (measured) output signals feedback back as an error event signal, and outcome error signals available to mildly tune the adaptive state estimators and output and outcome predictors. Targeted parameters can include input or output mappings or rule weights. When used in a simulation mode, the model can be used to predict the consequences of alternative treatment/intervention plans, and thus help the user optimize the intervention strategy. CNN: connectionist neural network. Dashed line: Sampling. Dotted line: future adaptive CNN work.