On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations

Author:

Huang De-Shuang

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Huang, D.S.: Systematic Theory of Neural Network for Pattern Recognition. Publishing House of Electronic Industry, Beijing, China (1996)

2. Huang, D.S.: One-Layer Linear Perceptron for the Inversion of Nonsingular Matrix. In: IC On ROVPIA 1996, Ipoh, Malaysia, November 28 30, pp. 639–643 (1996)

3. Huang, D.S., Zhao, M.S.: A Neural Network Based Factorization Model for Polynomials in Several Elements. In: 2000 5th International Conference on Signal Processing Proceedings (WCC2000-ICSP2000), August 21–25, pp. 1617–1622. Beijing, China (2000)

4. Huang, D.S.: Application of neural networks to finding real roots of polynomials in one element. In: ICONIP-2000 Proceedings, Taejon, Korea, November 14-17, vol. II, pp. 1108–1113 (2000)

5. Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning Representations by Backpropagating Errors. Nature 323, 533–536 (1986)

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1. A MODIFIED LEARNING ALGORITHM INCORPORATING ADDITIONAL FUNCTIONAL CONSTRAINTS INTO NEURAL NETWORKS;International Journal of Pattern Recognition and Artificial Intelligence;2006-03

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