Evaluation of regularity acquired by neural networks for circadian data fluctuation

Homeostatic dynamics of wake-sleep circadian rhythm has been identified by BP neural networks through the fluctuation of measured data. The neural networks are considered to have acquired a regular component of the fluctuation which also includes a random component. A method is proposed here to evaluate both components from measured data and applied to analysis of the dynamics represented by the neural networks.