Incremental communication for adaptive resonance theory networks

IEEE Transactions on Neural Networks

Volumn 16, Issue 1, 2005, Pages 132-144

  Chen, Ming ^a   Ghorbani, Ali A ^a   Bhavsar, Virendrakumar C ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Adaptive resonance theory 2 (ART2) networks; Artificial neural networks (ANNs); Error analysis; Finite precision computation; Incremental communication

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ERROR ANALYSIS; ITERATIVE METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

ADAPTIVE RESONANCE THEORY NETWORKS; FINITE PRECISION COMPUTATION; INCREMENTAL COMMUNICATION;

RECURRENT NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ANALYSIS; EVALUATION; FEEDBACK SYSTEM; INFORMATION RETRIEVAL; INFORMATION SCIENCE; MATHEMATICAL COMPUTING; METHODOLOGY; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTING METHODOLOGIES; FEEDBACK; INFORMATION STORAGE AND RETRIEVAL; INFORMATION THEORY; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 13844255520     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2004.839357     Document Type: Article

References (20)

1. G. A. Carpenter and S. Grossberg, "A massively parallel architecture for a self-organizing neural pattern recognition machine," Comput. Vis. Graph. Image Process., vol. 37, pp. 54-115, 1987.
2. G. A. Carpenter and S. Grossberg, "ART2: Self-organization of stable category recognition codes for analog input patterns," Appl. Opt. vol. 26, pp. 4919-4930, 1987.
3. G. A. Carpenter and S. Grossberg, "ART2-A: An adaptive resonance algorithm for rapid category learning and recognition,Neural Netw. vol. 4, pp, 493-504, 1991.
4. G. A. Carpenter, S. Grossberg, and J. H. Reynorlds, "ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network," Neural Netw., vol. 6, pp. 565-588, 1991.
5. G. A. Carpenter, S. Grossberg, and D. B. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Netw., vol. 4, no. 6, pp. 759-771, 1991.
6. G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynorlds, and D. B. Rosen, "Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps," IEEE Trans. Neural Netw., vol. 3. no. 5, pp. 698-713, Sep. 1992.
7. D. D. Cavilia, M. Valle, and G. M. Bissio, "Effects of weight discretization on the backpropagation learning method: Algorithm design and hardware realization," in Proc. Int. Joint Conf. Neural Networks vol. 2, San Diego, CA, 1990, pp. 631-637.
8. M. Chen, "Incremental communication for adaptive resonance theory networks," MCS thesis, Faculty Comput. Sci., Univ. New Brunswick, Fredericton, NB, Canada, 1998.
9. P. Gaudiano. (1997) ART2-A Simple ART2 Simulation Program. [Online]. Available: ftp://cns-ftp.bu.edu/pub/art2.shar.gz
10. A. A. Ghorbani and V. C. Bhavsar, "Incremental communication for artificial neural networks," IEEE Trans. Neural Netw., vol. 6, no. 6, pp. 1375-1385, Nov. 1995.
11. A. A. Ghorbani and V. C. Bhavsar, "Incremental communication for multilayer neural networks: Error analysis," IEEE Trans. Neural Netw., vol. 9, no. 1, pp. 68-82, Jan. 1998.
12. S. Grossberg, "Adaptive pattern classification and universal recoding, I: Parallel development and coding of neural feature detectors," Biol. Cybern., vol. 23, pp. 121-134, 1976.
13. S. Grossberg, "Adaptive pattern classification and universal recoding, II: Feedback, expectation, olfaction, and illusions," Biol. Cybern. vol. 23, pp. 187-202, 1976.
14. P. W. Hollis, J. S. Harper, and J. J. Paulos, "The effects of precision constraints in a backpropagation learning network," Neural Computat. vol. 2, pp. 363-373, 1990.
15. V. G. Kaburlasos and V. Petridis, "Fuzzy lattice neurocomputing (FLN) models," Neural Netw., vol. 13, no. 10, pp. 1145-1170, 2000.
16. K. Nakayama, S. Inomata, and Y. Takeuchi, "A digital multilayer neural network with limited binary expressions," in Proc. Int. Joint Conf. Neural Networks, vol. 2, San Diego, CA, 1990, pp. 578-592.
17. T. Serrano-Gotarredona, B. Linares-Barranco, and A. G. Andreou, Adaptive Resonance Theory Microchips: Circuit Design Techniques. Norwell, MA: Kluwer, 1998.
18. A. Singer, "Implementations of artificial neiral networks on connection machine," Parallel Comput., vol. 14, pp. 305-315, 1990.
19. J. R. Taylor, An Introduction to Error Analysis. Mill Valley, CA:Univ. Science Books, 1982.
20. "INMOS limited," in The Transputer Databook, 2nd ed. Berkeley, CA: Consolidated Printers, 1989.