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Artificial Neural Networks

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Handbook of Nature-Inspired and Innovative Computing

9 Conclusion

In this chapter, a general overview of artificial neural networks has been presented. These networks vary in their sophistication from the very simple to the more complex. As a result, their training techniques vary as well as their capabilities and suitability for certain applications. Neural networks have attracted a lot of interest over the last few decades, and it is expected they will be an active area of research for years to come. Undoubtedly, more robust neural techniques will be introduced in the future that could benefit a wide range of complex applications.

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  1. The University of Sydney, Sydney

    Javid Taheri & Albert Y. Zomaya

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  1. Javid Taheri
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  1. The University of Sydney, Australia

    Albert Y. Zomaya

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Taheri, J., Zomaya, A.Y. (2006). Artificial Neural Networks. In: Zomaya, A.Y. (eds) Handbook of Nature-Inspired and Innovative Computing. Springer, Boston, MA. https://doi.org/10.1007/0-387-27705-6_5

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  • DOI: https://doi.org/10.1007/0-387-27705-6_5

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