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Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock.market prediction

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International Journal of Intelligent Computing and Cybernetics 2019年第2期12卷 175-193页

作者： Smita Rath binod k.mar sahu Manoj Ranjan Nayak Institute of Technical Education and Research Siksha O Anusandhan UniversityBhubaneswarIndia

Purpose–Forecasting of stock indices is a challenging issue because stock data are dynamic,non-linear and uncertain in *** of an accurate forecasting model is very much essential to predict the next-day closing prices of the stock *** purpose of this paper is to develop an efficient and accurate forecasting model to predict the next-day closing prices of seven stock ***/methodology/approach–A novel strategy called quasi-oppositional symbiotic organisms search-based extreme learning machine(QSOS-ELM)is proposed to forecast the next-day closing prices *** in the prediction of closing price depends on output weights which are dependent on input weights and *** paper mainly deals with the optimal design of input weights and biases of the ELM prediction model using QSOS and SOS optimization ***–Simulation is carried out on seven stock indices,and performance analysis of QSOS-ELM and SOS-ELM prediction models is done by taking various statistical measures such as mean square error,mean absolute percentage error,accuracy and paired sample *** performance analysis reveals that the QSOS-ELM model outperforms the SOS-ELM model in predicting the next-day closing prices more accurately for all the seven stock indices under ***/value–The QSOS-ELM prediction model and SOS-ELM are developed for the first time to predict the next-day closing prices of various stock *** paired t-test is also carried out for the first time in literature to hypothetically prove that there is a zero mean difference between the predicted and actual closing prices.

关键词： Extreme learning machine Symbiotic organisms search Quasi-oppositional-based learning,Paired sample t-test

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Structural Variations in Wing Patterning of Seasonal Polyphenic Melanitis leda (Satyrinae)

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Microscopy Research 2016年第4期4卷 47-54页

作者： Eram Sultan Debabrat Sabat binod Bihari sahu Monalisa Mishra Department of Life Science National Institute of Technology-Rourkela Rourkela India

Seasonal polyphenism is a common phenomenon observed among members of the Lepidopteran subfamily Satyrinae. Melanitis leda, being a member of that subfamily, exhibits seasonal variation in terms of wing patterning. In butterflies, wing patterning is due to the nanostructural architecture of the scales, which reflects and refracts incident light, with or without the combination of pigments. The current scanning electron, fluorescence and optical microscope study divulge fine structural and signal changes that occur with different season in the scales of M. leda and give rise to the different wing pattern in butterfly. The structural and consequent signal changes are likely to be correlated with behavioural processes such as mate selection and escape from predation.

关键词： Melanitis leda Wing Coloration Polyphenism Scales

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