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To improve prediction accuracy of die yield, a novel fuzzy neural networks (FNN) based yield prediction approach is proposed. The yield prediction model is built, in which the impact factors of yield, including physical parameters, electrical test parameters and wafer defect parameters are considered simultaneously and are taken as independent variables. A back-propagation algorithm is used to train...
Due to large amount of collected data, image compression is both necessary and important for SAR system. Conventional image compression algorithms are incapable of attaining the desired compression while retaining the image fidelity required for processing at the ground station. In this paper, we present a ROI-based SAR image compression system for low bit rate. Region of interest is identified by...
Noise-like waveform and strange attractor are considered as important characteristics of chaos. In this paper, a new chaotic system with a novel attractor looking like limit cycle, which generates a sine-like output waveform, is found. The existence of chaotic signal with sine-like waveform is further investigated by employing several numerical tools and verified by simulating an experimental circuit.
An apparatus for detecting advanced glycation Endproducts (AGE) fluorescence spectrum of skin has been designed. Some of the AGE have special fluorescence. When the tissue of skin is illuminated with excitation light, fluorescence emmited by tissue is detected. The intensity of detected fluorescence is related with the concentration of tissue AGE, which can determine a tissue state of individual....
This paper aims at minimizing the makespan for a single batch-processing machine with non-identical job sizes (NSBM) using discrete particle swarm optimization algorithm (DPSO). PSO is a natural continuous function algorithm and there is some obstacle to solve combinatorial optimization problems. Recently, some hybrid PSO or DPSO have been presented by researchers to solve discrete problems in practical...
In order to improve some fundamental problems of the clonal selection algorithm (CSA), a novel clonal selection algorithm (NCSA) is proposed. After analyzing the mechanism of the clonal selection and proposing the antibody model, the basic character of the application problem fused into the NCSA based on rearrangements of antibody molecule coding genes. Next, we analyzed synthetically the antibody-antigen...
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