3Hagan M T, Menhaj M. Train ng feedforward networks with the Marquardt algorithm [J]. IEEE Tansactions on Neural Networks, 1994,5 (6) : 989-993.
4Battiti R. First and second order methods for learning:Between steepest descent and Newton's method[J]. Neural Computation, 1992,4(2) :141-166.
二级参考文献9
1[1]Luo R C, Kay M G. Multi - sensor integration and fusion in intelligent systems [J]. IEEE Transaction on Systems, Man and Cybernetics,1989, 19(5) :901 -931.
2[2]Luo R C, Kay M G, Lee W G. Future trends in multisensor integration and fusion[A]. Industrial Electronics, 1994 Symposium Proceedings,ISIE'94[C]. Santiago :1994. 7 - 12.
3[3]Luo R C, Su K L. A review of high - level multisensor fusion: approaches and applications [A]. Proceedings of the 1996 IEEE International Conference on Multisensor Fusion and Integration for IntelligentSystems[C]. Taipei: 1999. 25 -31.
4[5]Kamberova G,Mandelbaum G,Mintz M. Statistical decision theory for mobile robotics: theory and application[A] Proceedings of the 1996IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems[C]. USA: 1996. 17 - 24.
5[9]Hall D L. Manthematical technology in multisensor data fusion[M].London: Areteh House, 1992.
6[10]Luo R C, Kay M G. Multisensor integration and fusion for intelligent machines and system [M]. New Jersey: Ablex Publishing Corporation, 1994.
7[11]Special issues on sensors integration and fusion[C]. In Proc. SPIE,1991 and 1992.
