Neural network classification reliability: Problems and applications
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Mario Vento | Claudio De Stefano | Francesco Tortorella | Carlo Sansone | Luigi P. Cordelia | C. D. Stefano | F. Tortorella | M. Vento | C. Sansone | Carlo Sansone | C. Stefano
[1] S. Ergezinger,et al. An accelerated learning algorithm for multilayer perceptrons: optimization layer by layer , 1995, IEEE Trans. Neural Networks.
[2] Russell Reed,et al. Pruning algorithms-a survey , 1993, IEEE Trans. Neural Networks.
[3] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[4] P. Foggia,et al. Character recognition by geometrical moments on structural decompositions , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.
[5] Stephen Grossberg,et al. Competitive Learning: From Interactive Activation to Adaptive Resonance , 1987, Cogn. Sci..
[6] Yoshio Hirose,et al. Backpropagation algorithm which varies the number of hidden units , 1989, International 1989 Joint Conference on Neural Networks.
[7] Martin E. Hellman,et al. The Nearest Neighbor Classification Rule with a Reject Option , 1970, IEEE Trans. Syst. Sci. Cybern..
[8] C. K. Chow,et al. An optimum character recognition system using decision functions , 1957, IRE Trans. Electron. Comput..
[9] Donald F. Specht,et al. Probabilistic neural networks , 1990, Neural Networks.
[10] Shouhong Wang,et al. Fuzzy set representation of neural network classification boundaries , 1991, IEEE Trans. Syst. Man Cybern..
[11] Keinosuke Fukunaga,et al. Application of optimum error-reject functions (Corresp.) , 1972, IEEE Trans. Inf. Theory.
[12] Erkki Oja,et al. Rival penalized competitive learning for clustering analysis, RBF net, and curve detection , 1993, IEEE Trans. Neural Networks.
[13] Pramod K. Varshney,et al. An evidential extension of the MRII training algorithm for detecting erroneous MADALINE responses , 1995, IEEE Trans. Neural Networks.
[14] Donald F. Specht,et al. Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification , 1990, IEEE Trans. Neural Networks.
[15] Amir F. Atiya,et al. An accelerated learning algorithm for multilayer perceptron networks , 1994, IEEE Trans. Neural Networks.
[16] Mario Vento,et al. A method for improving classification reliability of multilayer perceptrons , 1995, IEEE Trans. Neural Networks.
[17] A. Willsky,et al. Analytical redundancy and the design of robust failure detection systems , 1984 .
[18] V. K. Govindan,et al. Character recognition - A review , 1990, Pattern Recognit..
[19] Mohamad Musavi,et al. On the generalization ability of neural network classifiers , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[20] Roberto Battiti,et al. Democracy in neural nets: Voting schemes for classification , 1994, Neural Networks.
[21] Robert M. Haralick,et al. Structural Descriptions and Inexact Matching , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Anil K. Jain,et al. Artificial Neural Networks: A Tutorial , 1996, Computer.
[23] Isabelle Bloch. Information combination operators for data fusion: a comparative review with classification , 1996, IEEE Trans. Syst. Man Cybern. Part A.
[24] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..
[25] Germano C. Vasconcelos,et al. Investigating feedforward neural networks with respect to the rejection of spurious patterns , 1995, Pattern Recognit. Lett..
[26] Alan S. Willsky,et al. A survey of design methods for failure detection in dynamic systems , 1976, Autom..
[27] Stanley C. Ahalt,et al. Competitive learning algorithms for vector quantization , 1990, Neural Networks.
[28] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[29] Eric B. Bartlett,et al. Error Estimation by Series Association for Neural Network Systems , 1995, Neural Computation.
[30] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[31] Jacques de Villiers,et al. Backpropagation neural nets with one and two hidden layers , 1993, IEEE Trans. Neural Networks.
[32] Pietro Burrascano,et al. Learning vector quantization for the probabilistic neural network , 1991, IEEE Trans. Neural Networks.
[33] Richard P. Brent,et al. Fast training algorithms for multilayer neural nets , 1991, IEEE Trans. Neural Networks.
[34] C. K. Chow,et al. On optimum recognition error and reject tradeoff , 1970, IEEE Trans. Inf. Theory.
[35] Adam Krzyżak,et al. Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..
[36] V. Walton,et al. Detecting Instrument Malfunctions in Control Systems , 1975, IEEE Transactions on Aerospace and Electronic Systems.
[37] George Nagy,et al. 29 Optical character recognition - Theory and practice , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.
[38] Paul M. Frank,et al. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..