Abstract: A rotational speed estimation method for a brushless DC motor includes: an extended particle filter setting step of setting, to the extended particle filter, a plurality of likelihoods including a first likelihood and a second likelihood selectively applied based on whether a change occurs in output of a plurality of magnetic sensors of a rotor; a detection pulse signal acquisition step of acquiring a detection pulse signal output from each of the plurality of magnetic sensors; a signal processing step of obtaining a continuous pulse from the detection pulse signal; and a rotational speed estimation step of using the extended particle filter, applying the first likelihood as the likelihood when no change occurs in the continuous pulse and applying the second likelihood when a change occurs in the continuous pulse, and estimating the rotational speed of the rotor.

Abstract: An information recognition circuit comprises a plurality of recognition processing units each composed of a neural network. Teacher signals and information signals to be processed are supplied to a plurality of the units, individually so as to obtain output signals by executing individual learning. Thereafter, the plural units are connected to each other so as to construct a large scale information recognition system. Further, in the man-machine interface system, a plurality of operating instruction data are prepared. An operator's face is sensed by a TV camera to extract the factors related to the operator's facial expression. The neural network analogizes operator's feeling on the basis of the extracted factors. In accordance with the guessed results, a specific sort of the operating instruction is selected from a plurality of sorts of the operating instructions, and the selected instruction is displayed as an appropriate instruction for the operator.

Abstract: An information recognition circuit comprises a plurality of recognition processing units each composed of a neural network. Teacher signals and information signals to be processed are supplied to a plurality of the units, individually so as to obtain output signals by executing individual learning. Thereafter, the plural units are connected to each other so as to construct a large scale information recognition system. Further, in the man-machine interface system, a plurality of operating instruction data are prepared. An operator's face is sensed by a TV camera to extract the factors related to the operator's facial expression. The neural network analogizes operator's feeling on the basis of the extracted factors. In accordance with the guessed results, a specific sort of the operating instruction is selected from a plurality of sorts of the operating instructions, and the selected instruction is displayed as an appropriate instruction for the operator.