Abstract: A solder paste brick inspection and physical quality scoring system 10 employs a neural network 70 trained with a fuzzified output vector. An image of solder paste bricks 64 on a printed circuit board 12 is acquired by a CCD camera 30. Values of a predetermined set of brick metrics are extracted from the image by a computer 28 and used as a crisp input vector to trained neural network 70. A defuzzifier 76 converts a fuzzy output vector from neural network 70 into a crisp quality score output which can be used for monitoring and process control.

Abstract: A neural network based optical character recognition technique is presented for identifying characters in a moving web. Image acquisition means defines an imaging window through which the moving web passes such that the characters printed thereon can be imaged. Classification data is extracted and accumulated for each printed web character passing through the imaging window. A light source provides transmissive illumination of the web as it is being imaged. A neural network accelerator is coupled to the image acquisition means for intelligent processing of the accumulated classification data to produce therefrom printed character classification information indicative of each corresponding character imaged. A processor is coupled to the accelerator for converting the classification information into the appropriate ASCII character code. The technique is particularly useful for reading dot-matrix-type characters on a noisy, semi-transparent background at fast real-time rates.

Abstract: A high speed, feed forward, segmented neural network and fabrication technique are described. The segmented network includes a plurality of network layers stacked in an ascending pyramid fashion. The network layers are structured with a plurality of subnetworks, and within each subnetwork exists a plurality of nodes structured in a fully interconnected and/or partially interconnected layered neural network arrangement. The inputs and outputs of each subnetwork are one bit digital values constrained to `0` or `1`, while any number of nodes with any number of layers may be modeled for each subnetwork. Each subnetwork is independent of all other subnetworks in a given network layer, and thus, each network layer is segmented. In hardware implementation, each subnetwork comprises a simple memory device, such as a RAM or PROM look-up table. The speed of the neural network system is high and largely dictated by the access time of the memory devices used.

Abstract: A non-impact printer apparatus and method for recording on a medium that is moving at a variable rate. A plurality of recording elements arranged transverse to movement of the medium records respective pixels. Each pixel is formed by enabling each recording element a plurality of times during a pixel recording period. To maintain uniformity in pixel recording a duration for recording a sub-pixel and the number of sub-pixels per pixel are adjusted in accordance with the speed of the recording medium. The sum of the sub-pixel recording durations during a pixel recording period comprises the pixel exposure time.