Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques

Expert Systems with Applications

Volumn 36, Issue 6, 2009, Pages 10097-10104

  Majhi, Ritanjali ^a   Panda, G ^b   Majhi, Babita ^b   Sahoo, G ^c  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^c BIRLA INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Adaptive bacterial foraging optimization; Bacterial foraging optimization; Genetic algorithm and particle swarm optimization; Stock market forecasting

Indexed keywords

ADAPTIVE BACTERIAL FORAGING OPTIMIZATION; ADAPTIVE LINEAR COMBINERS; BACTERIAL FORAGING OPTIMIZATION; EVOLUTIONARY COMPUTING; FASTER CONVERGENCES; FORECASTING MODELS; LINEAR COMBINERS; LONG-TERM PREDICTIONS; MEAN-SQUARE ERRORS; NEW MODELS; PARTICLE-SWARM OPTIMIZATIONS; STOCK INDICES; STOCK MARKET FORECASTING; STOCK MARKET INDICES; TEST DATUM;

ADAPTIVE ALGORITHMS; BACTERIOLOGY; FORECASTING; GENETIC ALGORITHMS; MEAN SQUARE ERROR;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 64449083005     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.01.012     Document Type: Article

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