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Titlebook: Advances in Neural Networks - ISNN 2006; Third International Jun Wang,Zhang Yi,Hujun Yin Conference proceedings 2006 Springer-Verlag Berli

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Renjun Wang,Lu Li,Xiaojiang Li,Qunfeng Zhao its performance especially in case of real valued modulation such as BPSK and PAM. The computer simulation results demonstrate the improvement in performance achievable with the proposed equalization algorithm.
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Building the CIM, not an other Babel Towerund color threshold; the second hierarchy classifiers including of three PNN networks can concretely identify traffic sign. The inputs of every PNN use the new developed Tchebichef moment invariants. The simulation results show that the two-hierarchy classifier can improve the classification ability meanwhile can use in real-time system.
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Henning Maier,Johannes Schmitz,Rudolf Mathartermine on which specific angle the pixel is. And finally we detect the traffic sign by using the information of shape. We used 20 different images from different scenes to test this method, and the percentage of correctness is 100%.
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https://doi.org/10.1057/9781137445964e general HNN as well as to that of the OMD for CDMA transmission cases. It is shown that the modified HNN detection scheme exhibits a number of attractive properties and that it provides in fact more powerful performance than the general HNN scheme or the OMD scheme.
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Conference proceedings 2006thwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 co
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