On generalization by neural networks

Information Sciences

Volumn 111, Issue 1-4, 1998, Pages 293-302

  Kak, Subhash C ^a  

^a LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; LEARNING SYSTEMS; REAL TIME SYSTEMS;

PRESCRIPTIVE LEARNING PROCEDURES;

FEEDFORWARD NEURAL NETWORKS;

EID: 0032204351     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(98)10009-9     Document Type: Article

References (9)

1. S.C. Kak, On training feedforward neural networks, Pramana -J. Phys. 40 (1993) 35-42.
2. S.C. Kak, New algorithms for training feedforward neural networks, Pattern Recognition Letters 15 (1994) 295-298.
3. S.C. Kak, J. Pastor, Neural networks and methods for training neural networks, US Patent No. 5,426,721, June 20, 1995.
4. P. Raina, Comparison of learning and generalization capabilities of the Kak and the backpropagation algorithms, Inform. Sci. 81 (1994) 261-274.
5. K.B. Madineni, Two corner classification algorithms for training the Kak feedforward neural network, Inform. Sci. 81 (1994) 229-234.
6. G. Mirchandani, W. Cao, On hidden nodes for neural nets, IEEE Trans. Circuits and Systems 36 (1989) 661-664.
7. G. Georgiou, Comments on 'On Hidden Nodes', IEEE Trans. Circuits and Systems 38 (1991) 1410.
8. S.C. Kak, Quantum neural computing, Adv. Imaging and Electron Phys. 94 (1995) 259-313.
9. S.C. Kak, The three languages of the brain: quantum, reorganizational, and associative, in: K. Pribram, J. King (Eds.), Learning as Self-Organization, Lawrence Erlbaum, Mahwah, 1996, pp. 185-219.