Further Reading

Almeida LB (1987) A learning rule for asynchronous perceptrons with feedback in a combinatorial environment. Proceedings, IEEE International Conference on Neural Networks, vol. II, pp. 609-618. San Diego: IEEE Press. Angelovic P (2005) Time series prediction using RSOM and local models. In: IIT. SRC 2005. Bratislava, Slovakia: Slovak University of Technology.

Barreto G, AraUjo A, and Kremer SC (2003) A taxonomy for spatiotemporal connectionist networks revisited: The unsupervised case. Neural Computation 15(6): 1255-1320. Chappell GJ and Taylor JG (1993) The temporal Kohonen map. Neural

Networks 6: 441-445. Chon T-S, Kwak I-S, Park Y-S, Kim T-H, and Kim YS (2001) Patterning and short-term predictions of benthic macroinvertebrate community dynamics by using a recurrent artificial neural network. Ecological Modelling 146: 181-193.

Chon T-S, Park Y-S, and Cha EY (2000) Patterning of community changes in benthic macroinvertebrates collected from urbanized streams for the short time prediction by temporal artificial neuronal networks. In: Lek S and Guegan JF (eds.) Artifical Neuronal Networks, pp. 99-114. Berlin: Springer.

Elman JL (1990) Finding structure in time. Cognitive Science 14: 179-211.

Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences of the United States of America 79: 2554-2558.

Jordan MI (1986) Attractor dynamics and parallelism in a connectionist sequential machine. In: Proceedings of the Eighth Annual Conference of the Cognitive Science Society, pp. 531-546. Hillsdale, NJ: Lawrence Erlbaum.

Kohonen T (2001) Self-Organizing Maps, 3rd edn. Berlin: Springer.

Koskela T, Varsta M, Heikkonen J, and Kaski K (1998) Temporal sequence processing using recurrent SOM. In: Proceedings of 2nd International Conference on Knowledge-Based Intelligent Engineering Systems, vol. 1, pp. 290-297.

Kosko B (1987) Adaptive bidirectional associative memories. Applied Optics 26(23): 4947-4959.

Kung SY (1993) Digital Neural Networks. Englewood Cliffs, NJ: Prentice Hall.

Lin C-T and Lee CSG (1996) Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems. Upper Saddle River, NJ: Prentice Hall.

Pineda FJ (1987) Generalization of back-propagation to recurrent neural networks. Physical Review Letters 59(19): 2229-2232.

Son K-H, Ji CW, ParkY-M, etal. (2006) Recurrent Self-Organizing Map implemented to detection of temporal line-movement patterns of Lumbriculus variegatus (Oligochaeta: Lumbriculidae) in response to the treatments of heavy metal. In: Kungolos AG, Brebbia CA, Samaras CP, Popov V (eds.) Environmental Toxicology. WIT Transaction on Biomedicine and Health vol. 10, pp. 77-91. Southampton, UK: WIT press.

Lek S and Guegan J-F (2000) Artificial Neuronal Networks, 248pp. Heidelberg: Springer.

Varsta M, Heikkonen J, and Millan J del R (1997) Context learning with the self-organizing map. In: Proceedings ofWSOM, pp. 197-202. Helsinki: Helsinki University of Technology.

Williams RJ and Zipser D (1989) A learning algorithm for continually running fully recurrent neural networks. Neural Computation 1: 270-280.

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