References
- Kwon , E E , Kim , S , Jeon , Y J and Yi , H . 2012 . Biodiesel production from sewage sludge: new paradigm for mining energy from municipal hazardous materials . Environ Sci Technol. , 46 : 10222 – 10228 .
- Han , M J , Behera , S K and Park , H- S . 2012 . Aerobic co-digestion of food waste leachate and piggery wastewater for methane production: statistical optimization of key process parameters . J Chem Technol Biotechnol. , 87 : 1541 – 1550 . (doi:10.1002/jctb.3786)
- Park , H S , Rene , E R , Choi , S M and Chiu , A SF . 2008 . Strategies for sustainable development of industrial park in Ulsan, South Korea -From spontaneous evolution to systematic expansion of industrial symbiosis . J Environ Manage. , 87 : 1 – 13 . (doi:10.1016/j.jenvman.2006.12.045)
- Lema , J M and Omil , F . 2001 . Anaerobic treatment: a key technology for a sustainable management of wastes in Europe . Water Sci Technol. , 44 : 133 – 140 .
- Marchaim , U . 1992 . Biogas processes for sustainable development , Vol. 95 , 165 – 193 . Rome : Food and Agriculture Organization of the United Nations .
- McCarty , P L . 2001 . The development of anaerobic treatment and its future . Water Sci Technol. , 44 : 149 – 156 .
- Dagnall , S . 1995 . UK strategy for centralised anaerobic digestion . Bioresour Technol. , 52 : 275 – 280 . (doi:10.1016/0960-8524(95)00039-H)
- Azbar , N , Keskin , T and Yuruyen , A . 2008 . Enhancement of biogas production from olive mill effluent (OME) by co-digestion . Biomass Bioenerg. , 32 : 1195 – 1201 . (doi:10.1016/j.biombioe.2008.03.002)
- Sosnowski , P , Wieczorek , A and Ledakowicz , S . 2003 . Anaerobic co-digestion of sewage sludge and organic fraction of municipal solid wastes . Adv Environ Res. , 7 : 609 – 616 . (doi:10.1016/S1093-0191(02)00049-7)
- Park , W J and Ahn , J H . 2011 . Optimization of microwave pretreatment conditions to maximize methane production and methane yield in mesophilic anaerobic sludge digestion . Environ Technol. , 32 : 1533 – 1540 . (doi:10.1080/09593330.2010.543929)
- Khatee , A R and Kasiri , M B . 2010 . Artificial neural networks modeling of contaminated water treatment process by homogeneous and heterogeneous nanocatalysis . J Mol Catal A Chem. , 331 : 86 – 100 . (doi:10.1016/j.molcata.2010.07.016)
- Ioannou , K , Birbilis , D and Lefakis , P . 2011 . A method for predicting the possibility of ring shake appearance on standing chestnut trees (Castanea sativa MILL.) . J Environ Prot Ecol. , 12 : 295 – 304 .
- Ioannou , K , Arabatzis , G and Lefakis , P . 2009 . Predicting the prices of forest energy resources with the use of Artificial Neural networks (ANNs) . The case of conifer fuel wood in Greece. J Environ Prot Ecol. , 10 : 678 – 694 .
- Koutroumanidis , T , Ioannou , K and Arabatzis , G . 2009 . Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model . Energ Policy. , 37 : 3627 – 3634 . (doi:10.1016/j.enpol.2009.04.024)
- Myronidis , D , Stathis , D , Ioannou , K and Fotakis , D . 2012 . An integration of statistics temporal methods to track the effect of drought in a shallow mediterranean lake . Water Resour Manag. , 26 : 4587 – 4605 . (doi:10.1007/s11269-012-0169-z)
- García-Gimeno , R M , Hervás-Martínez , C , Rodríguez-Pérez , R and Zurera-Cosano , G . 2005 . Modelling the growth of Leuconostoc mesenteroides by artificial neural networks . Int J Food Microbiol. , 105 : 317 – 332 . (doi:10.1016/j.ijfoodmicro.2005.04.013)
- Owen , W F , Stuckey , D C , Healy , J B , Young , L Y and McCarty , P L . 1979 . Bioassay for monitoring biochemical methane potential and anaerobic toxicity . Water Res. , 13 : 485 – 492 . (doi:10.1016/0043-1354(79)90043-5)
- Rittmann , B E and McCarty , P L . 2001 . Environmental biotechnology: principles and applications , New York : McGraw-Hill .
- APHA, AWWA, and WPCF . 1998 . Standard methods for the examination of water and wastewater , 20 , Washington, DC : American Public Health Association .
- Behera , S K , Park , J M , Kim , K M and Park , H-S . 2010 . Methane production from food waste leachate in laboratory-scale simulated landfill . Waste Manage. , 30 : 1502 – 1508 . (doi:10.1016/j.wasman.2010.02.028)
- Cornell , J A . 2002 . Experiments with mixtures: designs, models, and the analysis of mixture data , 3 , New York : John Wiley & Sons .
- Zafar , M , Kumar , S , Kumar , S and Dhiman , A K . 2012 . Modeling and optimization of poly(3hydroxybutyrate-co-2hyrdoxyvalerate) production from cane molasses by Azohydromonas lata MTCC 2311 in a stirred tank reactor: effect of agitation and aeration regimes . J Ind Microbiol Biotechnol. , 39 ( 6 ) : 987 – 1001 . (doi:10.1007/s10295-012-1102-4)
- Zafar , M , Kumar , S , Kumar , S and Dhiman , A K . 2012 . Artificial intelligence based modeling and optimization of poly (3hydroxybutyrate-co-2hydroxyvalerate) production process by using Azohydromonas lata MTCC 2311 from cane molasses supplemented with volatile fatty acids: a genetic algorithm paradigm . Bioresour Technol. , 104 : 631 – 641 . (doi:10.1016/j.biortech.2011.10.024)
- Hagelqvist , A . 2013 . Batchwise mesophilic anaerobic co-digestion of secondary sludge from pulp and paper industry and municipal sewage sludge . Waste Manage. , 33 : 820 – 824 . (doi:10.1016/j.wasman.2012.11.002)
- Capela , I , Rodrigues , A , Silva , F , Nadais , H and Arroja , L . 2008 . Impact of industrial sludge and cattle manure on anaerobic digestion of the OFMSW under mesophilic conditions . Biomass Bioenerg. , 32 : 245 – 251 . (doi:10.1016/j.biombioe.2007.09.004)
- Mousavi , S M , Niaei , A , Salari , D , Panahi , P N and Samandari , M . 2013 . Modelling and optimization of Mn/activate carbon nanocatalysts for NO reduction: comparison of RSM and ANN techniques . Environ Technol. , 34 ( 11 ) : 1377 – 1384 . (doi:10.1080/09593330.2012.750381)
- Perpetuo , E A , Silva , D N , Avanzi , I R , Gracioso , L H , Baltazar , M PG and Nascimento , C AO . 2012 . Phenol biodegradation by a microbial consortium application of artificial neural network (ANN) modeling . Environ Technol. , 33 : 1739 – 1745 . (doi:10.1080/09593330.2011.644585)
- Stufflebeam R. Connectionism: an introduction. Consortium on cognitive science instruction [Internet]. 2006. [cited 2012 March 6]. Available from: http://www.mind.ilstu.edu/curriculum/connectionism_intro/connectionism_1.php?modGUI=76&compGUI=1928&itemGUI=3343
- Paliwal , M and Kumar , U A . 2011 . Assessing the contribution of variables in feed forward neural network . Appl Soft Comput. , 11 : 3690 – 3696 . (doi:10.1016/j.asoc.2011.01.040)