@article{(Open Science Index):https://publications.waset.org/pdf/2610, title = {Neural Network Learning Based on Chaos}, author = {Truong Quang Dang Khoa and Masahiro Nakagawa}, country = {}, institution = {}, abstract = {Chaos and fractals are novel fields of physics and mathematics showing up a new way of universe viewpoint and creating many ideas to solve several present problems. In this paper, a novel algorithm based on the chaotic sequence generator with the highest ability to adapt and reach the global optima is proposed. The adaptive ability of proposal algorithm is flexible in 2 steps. The first one is a breadth-first search and the second one is a depth-first search. The proposal algorithm is examined by 2 functions, the Camel function and the Schaffer function. Furthermore, the proposal algorithm is applied to optimize training Multilayer Neural Networks. }, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {4}, year = {2007}, pages = {923 - 928}, ee = {https://publications.waset.org/pdf/2610}, url = {https://publications.waset.org/vol/4}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 4, 2007}, }