Donald L. Hung

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— This paper presents two types of recurrent neural networks, continuous-time and discrete-time ones, for solving linear inequality and equality systems. In addition to the basic continuous-time and discrete-time neural-network models, two improved discrete-time neural networks with faster convergence rate are proposed by use of scaling techniques. The(More)
We describe an algorithm for computing ray/Bézier patch intersections from a pipelined hardware point-of-view. This algorithm uses patch subdivision and other geometrical techniques to find a given maximum number of intersection points nearest to the ray origin. We propose a pipeline-based hardware architecture, and verify the number of pipeline stages(More)