The role of artificial neural networks in the analysis of ultrasonic bat calls: A case study

Complexity International

Volumn 5, Issue , 1998, Pages

  Stocker, Robert C ^a  

^a CHARLES STURT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; MULTI-LAYER PERCEPTRON (MLP); NEUROLOGICAL STRUCTURES; NEURONS;

BACKPROPAGATION; BIODIVERSITY; COMPUTATIONAL COMPLEXITY; DATA REDUCTION; ENVIRONMENTAL ENGINEERING; ERROR ANALYSIS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; PROBLEM SOLVING;

NEURAL NETWORKS;

EID: 4143148821     PISSN: 13200682     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (36)

1. Aleksander, Igor & Morton, Helen (1995) An introduction to neural computing, International Thompson Computer Press, London.
2. Arbib, Michael A. (1995) Applications and Implementations in The handbook of brain behaviour and neural networks, ed Michael A. Arbib, The MIT Press, Cambridge MA.
3. Anderson, James A. (1995) An introduction to neural networks, The MIT Press, Cambridge MA.
4. Barto, Andrew G., Sutton, Richard S. & Anderson, Charles W. (1983) Neuronlike adaptive elements that can solve difficult learning problems, Artificial neural networks: Concept learning, IEEE Computer Society Press, Los Alamitos CA.
5. Baxter, Jonathan. (1993) The evolution of learning algorithms for artificial neural networks, in Complex systems 92: From biology to computation, eds David Green and Terry Bossomaier, IOS Press, Amsterdam.
6. Caudill, Maureen. & Butler, Charles (1994) Understanding neural networks: Computer explorations, Volume 1: Basic networks The MIT Press, Cambridge MA.
7. Churchland, Patricia S. & Sejnowski, Terrence J. (1993) The computational brain, The MIT Press, Cambridge MA.
8. Diedrich, Joachim & Tickle, Alan B. (1994) Explanation and collective computation, Complex systems 94: Mechanism of adaptation, eds in Russell J. Stonier and Xing Huo Yu, IOS Press, Amsterdam.
9. Demuth, Howard B. & Beale, Mark (1996) Neural network toolbox: For use with MATLAB, The Mathsworks, Inc., Natick MA.
10. De Wilde, Phillipe (1996)〈/DT〉 Neural network models: An analysis, Springer-Verlag, Berlin
11. Fogelman-Soulié, Françoise (1995) Applications of neural networks, in The handbook of brain behaviour and neural networks, ed. Michael A. Arbib, The MIT Press, Cambridge MA.
12. Gorman, R. Paul & Sejnowski, Terrence J. (1988) Analysis of hidden units in a layered network trained to classify sonar targets, Neural Networks, 1:75-89.
13. Hart, Anna (1992) Using neural networks for classification tasks - some experiments on data sets and practical advice, Journal of operational research, 43 3:215-226.
14. Hagan, Martin T., Demuth, Howard B. & Beale, Mark. (1996) Neural network design, PWS Publishing Company, Boston MA.
15. Haykin, S. (1994) Neural networks: A comprehensive foundation, Prentice-Hall Inc., New Jersey.
16. Herr, A. (1998) Aspects of the ecology of forest dwelling bats (Microchiroptera) in the Western slopes of the Australian Alps, Doctoral Thesis (Working title), School of Environmental and Information Sciences, Charles Sturt University, Australia.
17. Herr, A. & Klomp, N. I. (1995) South-eastern Australian bat call library, The Johnstone Centre, Charles Sturt University, Albury Australia.
18. Herr, A., Klomp, N. I. & Atkinson, J. S. (1997) Identification of bat echolocation calls using a decision tree classification system, Complexity International Journal, (ISSN 1320-0682), Vol. 4, The Johnstone Centre, Charles Sturt University, Albury Australia. URL. http://www.complexity.org.au/vol4/herr/ batcall.html
19. Hinton, Geoffrey E. (1989) Connectionist learning procedures, Artificial Intelligence, Vol 40, Number 1, 143-150.
20. Hogan, James M. & Diedrich, Joachim (1994) Random neural networks of biologically plausible connectivity, Complex systems 94: Mechanism of adaptation, eds Russell J. Stonier & Xing Huo Yu, IOS Press, Amsterdam.
21. Johnson, R. Colin & Brown, Chappell (1988) Cognizers, neural networks and machines that think, John Wiley & Sons Inc, New York.
22. Klomp, Nicholas I. & Green, David G. (1996) Complexity and connectivity in ecosystems, in Complex systems: From local interactions to global phenomena, eds Rob Stocker, Herbert Jelinek, Bohdan Durnota & Terry Bossomaier, IOS Press, Amsterdam.
23. Lodge, Ken, Geyer, Jim & Bossomaier, Terry (1996) Adaptibility in neural networks, in Complex systems: From local interactions to global phenomena, eds Rob Stocker, Herbert Jelinek, Bohdan Durnota & Terry Bossomaier, IOS Press, Amsterdam.
24. McClelland, J. L. & Rumelhart, D. E. (1985) A distributed model of human learning and memory, Parallel distributed processing: Explorations in the microstructure of cognition, Vol. 2, Psychological and Biological Models, The MIT Press, Cambridge MA.
25. Mooney, R., Shavlik, J., Towell, G. & Gove, A. (1989) An experimental comparison of symbolic and connectionist learning algorithms, Proc. 11th International Joint Conference on Artificial Intelligence, pp. 775-780.
26. Narendra, Kumpati S. (1995) Adaptive control: Neural network applications, in The handbook of brain behaviour and neural networks, ed. Michael A. Arbib, The MIT Press, Cambridge MA.
27. Orchard, G. A & Phillips, W. A. (1991) Neural computaion: A beginner's guide Lawrence Erlbaum Associates Ltd, East Sussex UK.
28. Piramuthu, Selwyn (1996) The effects of feature selection on backpropagation in feed-forward neural networks, in International workshop on neural networks, eds M. J van der Heyden, J. Mrsic-Flögel and K. Weigl, Proceedings Vol. I/II, VU University Press, Amsterdam.
29. Reed, Russell & Marks, Robert J. II. (1995) Neurosmithing: Improving neural network learning, in The handbook of brain behaviour and neural networks, ed. Michael A. Arbib, The MIT Press, Cambridge MA.
30. Rumelhart, D. E., Hinton, G. E. & Williams, R. J. (1986) Learning internal representations by error propagation, in Parallel distributed processing: Exploration in the microstructure of cognition, eds D. E. Rumelhart and J. L. McLelland, 1:312-362, The MIT Press, Cambridge MA.
31. Schyns, Phillipe G. & Rodet, Luc (1995) Concept learning, in The handbook of brain behaviour and neural networks, ed. Michael A. Arbib, The MIT Press, Cambridge MA.
32. Shepherd, Adrian J. (1997) Second-order methods for neural networks: Fast and reliable training methods for multi-layer perceptrons, Springer-Verlag, London.
33. Swingler, Kevin (1996) Applying neural networks: A practical guide, Academic Press, London.
34. The Mathworks, Inc. (1996) Using MATLAB Version 5, The Mathsworks, Inc., Natick MA.
35. van der Heyden, M. J. (1996) Neural networks and statistics: A brief overview, International workshop on neural networks, eds in M. J van der Heyden, J. Mrsic-Flögel & K. Weigl, Proceedings Vol. I/II, VU University Press, Amsterdam.
36. Werbos, Paul J. (1995) Backpropagation: Basic and new developments, in The handbook of brain behaviour and neural networks, ed. Michael A. Arbib, The MIT Press, Cambridge MA.