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Most methods for the evolutionary generation of multi-layer perceptron classifiers use a divide-and-conquer strategy, where the tasks of feature selection, structure design, and weight training are performed separately. The concurrent evolution of the whole classifier has been seldom attempted and its effectiveness has never been exhaustively benchmarked.… (More)
We show how to use intensively local cone approximations to obtain results in some fields of optimization theory such as optimality conditions, constraint qualifications, mean value theorems and error bound.
Individual investors' stock trading has increased over time, thus attracting the attention of academics. The greater availability of information and the development of e-trading platforms are among the main determinants of this phenomenon. The behavioral finance literature has pointed out the dangers related to individual trading, mainly regarding… (More)