Abstract: An asynchronous control system for a neuro computer, includes an inter-connected type neural network composed of a plurality of neurons for multiplying a plurality of input signals with corresponding weights, calculating a total sum-of-products of the input signals and weight, thereby providing the sum-of product signals, and converting the sum-of-product signal using a non-linear function. A weight memory is provided for storing data of the weights for said neurons, and a controller is provided for generating a control pattern which controls the neural network. A selector randomly selects one of the neurons which performs signal processing during one processing cycle.

Abstract: A parallel data processing apparatus including a plurality of processors, a pair of signal paths are provided for each processor, one signal path of each pair being used for supplying a predetermined signal to the processor, and the second signal path being used for returning the signal from the processor to a predetermined position common to all of the processors. Each of the above signal paths include a variable delay unit. The apparatus further includes a delay measuring unit for measuring the time elapsing while the signal is propagated from the above predetermined position to a corresponding processor and then returned from the processor to the above predetermined position through each pair of signal paths. Further the apparatus includes a delay adjusting unit for adjusting the delays caused by the variable delay units in all of the signal paths.