%0 Book Section %1 Coolen1998 %A Coolen, A. C. C. %B Concepts for Neural Networks: A Survey %C London %D 1998 %E Landau, L. J. %E Taylor, J. G. %I Springer London %K NN %P 13--70 %R 10.1007/978-1-4471-3427-5_2 %T A Beginner's Guide to the Mathematics of Neural Networks %U https://doi.org/10.1007/978-1-4471-3427-5_2 %X A description is given of the role of mathematics in shaping our understanding of how neural networks operate, and the curious new mathematical concepts generated by our attempts to capture neural networks in equations. A selection of relatively simple examples of neural network tasks, models and calculations, is presented. %@ 978-1-4471-3427-5

@inbook{Coolen1998, abstract = {A description is given of the role of mathematics in shaping our understanding of how neural networks operate, and the curious new mathematical concepts generated by our attempts to capture neural networks in equations. A selection of relatively simple examples of neural network tasks, models and calculations, is presented.}, added-at = {2019-12-03T13:05:57.000+0100}, address = {London}, author = {Coolen, A. C. C.}, biburl = {https://www.bibsonomy.org/bibtex/264e87b39c0233247b6cebeff49d53cd7/rpennec}, booktitle = {Concepts for Neural Networks: A Survey}, doi = {10.1007/978-1-4471-3427-5_2}, editor = {Landau, L. J. and Taylor, J. G.}, interhash = {2d1616e1362f4523cf4fda8162c17a63}, intrahash = {64e87b39c0233247b6cebeff49d53cd7}, isbn = {978-1-4471-3427-5}, keywords = {NN}, pages = {13--70}, publisher = {Springer London}, timestamp = {2019-12-04T07:59:16.000+0100}, title = {A Beginner's Guide to the Mathematics of Neural Networks}, url = {https://doi.org/10.1007/978-1-4471-3427-5_2}, year = 1998 }