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Titlebook: Neural Information Processing; 22nd International C Sabri Arik,Tingwen Huang,Qingshan Liu Conference proceedings 2015 Springer Internationa

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Weighted ANN Input Layer for Adaptive Features Selection for Robust Fault Classification,e to model all faults under different operating environments. In this paper, feedforward ANN input-layer-weights have been used for the adaptive selection of the least number of features, without fault model information, reducing the computations significantly but assuring the required accuracy by m
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Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisationdustry sectors. Here, a more flexible model is developed that is effective across a wide range of sectors. It is discovered there is a strong dependence of the quality of returns on the minimum number of trades allowed within a given time period (a risk-minimisation measure used to maintain portfoli
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