This invention relates to an information processing device and method that
enable classification of a new time series pattern. A time series pattern
N of a curve L (21) is inputted to an output layer (13) of a recurrent
neural network 1. An intermediate layer (12) has already learned a
predetermined time series pattern, and a weighting coefficient
corresponding to that time series pattern is held in its neurons. The
intermediate layer (12) calculates a parameter corresponding to the time
series pattern N on the basis of the weighting coefficient and outputs
the calculated parameter from parametric bias nodes (11-2). A comparator
unit (31) compares a parameter of a learned pattern stored in a storage
unit (32) with the parameter of the time series pattern N and thus
classifies the time series pattern N. This invention can be applied to a
robot.
