By FLETCHER, Hargreaves
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Extra resources for Activating Vocabulary: For ESOL Learners
By multiplying equations (8) and (9), the weighted hidden values are summed to be the output vector, Y as follows: Y = WX(2) (10) 29 A Lyapunov Theory-Based Neural Network Approach for Face Recognition Figure 3. Feedforward multilayered neural network T where Y = éëêy1, y2 , ym ùûú and each output node has the relationship in (11). u yr (P ) = å X j(2)wr , j , r = 1, m j =1 (11) Two important parameters are associated with each RBF unit. They are center Cj and gaussian width σj. Every center should well represent the corresponding subclass because the classification in RBF NN is mainly measured based on the distances between the input samples and the centers of each subclass.
In Evolvable Systems: From Biology to Hardware (LNCS 1801, pp. 197-207). Berlin, Germany: Springer-Verlag. , & Sanchez, E. (2004). A reconfigurable chip for evolvable hardware. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 816-827). , & Arostegui, J. M. M. (2004). POEtic: An electronic tissue for bioinspired cellular applications. Bio Systems, 76(1-3), 191–200. 023 Thompson, A. (1997). An evolved circuit, intrinsic in silicon, entwined with physics. In Evolvable Systems: From Biology to Hardware (LNCS 1259, pp.
Com Xilinx Corp. (2004b). XAPP290: Two flows for partial reconfiguration: Module based or difference based. com Xilinx Corp. (2005). Virtex-II platform FPGA user guide. com Yao, X. (1999). Evolving artificial neural networks. Proceedings of the IEEE, 87(9), 1423–1447. , & Chen, G. (1997). Necessary conditions for some typical fuzzy systems as universal approximators. Automatica, 33(7), 1333–1338. 1016/S0005-1098(97)00026-5 22 23 Chapter 2 A Lyapunov Theory-Based Neural Network Approach for Face Recognition Li-Minn Ang University of Nottingham Malaysia Campus, Malaysia King Hann Lim University of Nottingham Malaysia Campus, Malaysia Kah Phooi Seng University of Nottingham Malaysia Campus, Malaysia Siew Wen Chin University of Nottingham Malaysia Campus, Malaysia aBsTracT This chapter presents a new face recognition system comprising of feature extraction and the Lyapunov theory-based neural network.
Activating Vocabulary: For ESOL Learners by FLETCHER, Hargreaves