id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5ygoblmckzhlho4hus7dwkp4iy	János D. Pintér	Calibrating artificial neural networks by global optimization	2012	17	.pdf	application/pdf	7456	668	55	An artificial neural network (ANN) is a computational model − implemented as a computer program − that Artificial Neural Networks, ANN model calibration by global optimization, Lipschitz Global Optimizer An artificial neural network (ANN) is a computational model − implemented as a sequence of model output signals m=(m1, m2,…, mT) generated by the function a=a(x, s) related to global optimization models, algorithms and applications are presented e.g. in of an LGO implementation) in the ANN calibration context, by solving merely onedimensional, but non-trivial function approximation problems. • In all test problems the optimized function approximations are based on a set of all ANN model parameters, and set a limit for the global search steps (error function Figure 5 Function (12), and the list plot produced by the locally optimized ANN. Figure 6 Function (12), and the list plot produced by the globally optimized ANN. (2002) Global optimization: software, test problems, and applications.	./cache/work_5ygoblmckzhlho4hus7dwkp4iy.pdf	./txt/work_5ygoblmckzhlho4hus7dwkp4iy.txt