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- W2170575040 abstract "Fractals and chaos 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 procedures. The first one is Breadth-first search and the second one is 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." @default.
- W2170575040 created "2016-06-24" @default.
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- W2170575040 date "2007-08-01" @default.
- W2170575040 modified "2023-10-17" @default.
- W2170575040 title "Training Multilayer Neural Network by Global Chaos Optimization Algorithms" @default.
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- W2170575040 doi "https://doi.org/10.1109/ijcnn.2007.4370944" @default.
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