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Optical and Scintillation Properties of Bi4(GexS1−x)3O12 Single Crystal X.-F. Xiao, J.-Y. Xu, B.-L. Lu, W. Cai, Y. Zhang, H. Shen, B.-B. Yang and W.-D. Xiang School of Materials Science and Engineering, Tongji University, Shanghai 201804, P.R. China School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, P.R. China Department of Fundamental Science, Beifang University of Nationalities, Yinchuan 750021, P.R. China

This paper presents a novel online supervised learning model called emergent online learning for pattern classification. The model involves three mechanisms: decomposition of an online learning problem at each time step into a reasonable number of linearly separable problems; parallel learning of these linearly separable problems by using linear threshold gates; and integration of the trained linear threshold gates into a min-max modular network. Two simple emergent laws are used to control both the problem decomposition and solution integration. The advantages of the model are very fast learning speed, guaranteed convergence, high modularity, and parallelism.

In a Nd:glass microspherical cavity the enhancement and inhibition of spontaneous-emission processes that are due to cavity QED effects have been observed. The rates of the enhanced spontaneous emission are location dependent and reach a maximum value of more than 10(3) times the free-space value. The large enhancement strongly modifies the decay processes of Nd ions in glass, and the radiative properties of Nd:glass have been changed. As a result a new spectrum including new lasing wavelengths in the Nd:glass sphere has been observed.