Abstract
A number of simulated neurons form an artificial neural network. They are connected together in a way similar to biological neural systems. It is the high interconnection rate and the build-in parallelism of these networks that allow completely different processing capabilities in comparison to conventional computer systems. The performance of current pattern recognition systems is far below of humans’ abilities. Artificial neural networks offer the potential of providing new approaches to such problems.
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Zimmermann, A. (1995). Artificial Neural Networks for Analysis and Recognition of Primate Vocal Communication. In: Zimmermann, E., Newman, J.D., Jürgens, U. (eds) Current Topics in Primate Vocal Communication. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9930-9_2
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DOI: https://doi.org/10.1007/978-1-4757-9930-9_2
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