Use of artificial neural networks and genetic algorithms for prediction of sorption of an azo-metal complex dye onto lentil straw - Çelekli, Abuzer; Bozkurt, Hüseyin; Geyik, Faruk (Bioresource technology, 2013)
Keywords: Absorption; Agronomy. Soil science and plant productions; Algorithms; Artificial neural network (ANN); Azo Compounds; Azo Compounds - chemistry; Azo Compounds - isolation & purification; Biodegradation, Environmental; Biological and medical sciences; chemistry; Coloring Agents; Coloring Agents - chemistry; Coloring Agents - isolation & purification; Computer Simulation; dyes; equations; Fundamental and applied biological sciences. Psychology; gene expression; Gene expression programming (GEP); General agronomy. Plant production; isolation & purification; Lanaset Red G; Lens Plant; Lens Plant - chemistry; Lentil straw; lentils; Metals; Metals - chemistry; Metals - isolation & purification; Models, Chemical; Nerve Net; neural networks; particle size; Plant Components, Aerial; Plant Components, Aerial - chemistry; prediction; Sorption; straw; Use of agricultural and forest wastes. Biomass use, bioconversion; Water; Water - chemistry; Water Pollutants, Chemical; Water Pollutants, Chemical - chemistry; Water Pollutants, Chemical - isolation & purification; Sorption; Lanaset Red G; Gene expression programming (GEP); Lentil straw; Artificial neural network (ANN); Dyes; Prediction; Metal complex; Programming; Lens culinaris; Neural network; Gene expression; Straw; Grain legume; Lentil; Leguminosae; Vegetable crop; Genetic algorithm; Dicotyledones; Angiospermae; Spermatophyta; Artificial intelligence