Abstract: In a multi-layered neural network circuit provided with an input layer having input vectors, an intermediate layer having networks in tree-like structure whose outputs are necessarily determined by the values of the input vectors and whose number corresponds to the number of the input vectors of the input layer, and an output layer having plural output units for integrating all outputs of the intermediate layer, provided are learning-time memories for memorizing the numbers of times at learning in paths between the intermediate layer and the respective output units, threshold processing circuits for threshold-processing the outputs of the leaning-time memories, and connection control circuits to be controlled by the outputs of the threshold processing circuits for controlling connection of paths between the intermediate layer and the output units. The outputs of the intermediate layer connected by the connection control circuits are summed in each output unit.

Abstract: A local image processor is configured as a plurality of image processor elements each having a local image memory, and a single shift register circuit for supplying to the local image memories successive local images formed of an array of pixels of a source image. Each processor element includes a register holding a count value indicating the position within the source image of data that are currently being processed by that element, and the processor elements also include mutually interconnected registers whereby intermediate computation results obtained by one processor element can be utilized by another element during parallel processing operation.