...Vahide Bulut Purpose Feature extraction from 3D datasets is a current problem. Machine learning is an important tool for classification of complex 3D datasets. Machine learning classification techniques are widely used in various fields, such as text classification, pattern recognition, medical...

...) for training multi-layer perceptron (MLP) model by finding the optimal set of weight and biases. Design/methodology/approach The efficiency of MHDA in training MLPs is evaluated by applying it to classification and approximation benchmark data sets. Performance comparison between MHDA and other training...

...Teen-Hang Meen; Steven D. Prior; Artde Donald Kin-Tak Lam; Hongkang Lin Purpose – The clustering/classification method proposed in this study, designated as the PFV-index method, provides the means to solve the following problems for a data set characterized by imprecision and uncertainty: first...

... the following types of information: © Emerald Group Publishing Limited 2008 Optimization techniques Classification Programming and algorithm theory Genetic algorithms are known as powerful methods, which can evolve mean fitness of a population of designs during generations...