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References
Adami L (2002) Ab initio modeling of ecosystem with artificial life. Natural Resource Modeling 15(1):135–145
Brus DJ, Jansen MJW, de Gruijter JJ (2002) Optimizing two- and three-stage designs for spatial inventories of natural resources by simulated annealing. Environmental and Ecological Statistics 9(1):71–88
Burrows MJ, Tarling G (2004) Effects of density dependence on diel vertical migration of populations of northern krill: a genetic algorithm model. Marine Ecology Progress Series 277:209–220
Chao L (2006) Database development and management. Auerbach Publications, Boca Raton, Florida
Chen Q, Mynett RE (2003) Integration of data mining techniques and heuristic knowledge in fuzzy logic modeling of eurtrophication in Taibu Lake. Ecological Modeling 162 (1–2):55–67
Chen W, Li C, Hu F, Cui X (1999) The design and development of the expert system for fish stock assessment. Journal of Fisheries in China 23(1):343–349
Chèvre N, Gagni F, Gagnan P, Blaise C (2003) Application of rough sets to identify polluted sites based on a battery of biomakers: a comparison with classical methods. Chemosphere 51:13–23
Chua LHC, Holz KP (2005) Hybrid neural network – finite element river flow model. Journal of Hydraulic Engineering 131(1):52–59
Corchado J, Diken J, Rees N (2001) Artificial intelligence models for oceanographic forecasting. Plymouth Marine Laboratory, Plymouth, United Kingdom, 211Â pp
Corchado JM, Lees B (2001) Adaptation of cases for case-based forecasting with neural network support. In: Pal SK, Dillon TS, Yenng DS (eds) Soft computing in case-based reasoning. Springer-Verlag, London, pp. 253–319
Cui X, Fan W, Shen X (2003) Development of the fishing condition analysis and forecasting system of Ommastrephes bartrami in the Northeast Pacific Ocean. Journal of Fisheries of China 27(6):600–605
Dagorn L (1992) The emergence of artificial intelligence: application to tuna populations. Collective volume of scientific papers. International Commission for the Conservation of Atlantic Tunas 39(1):385–389
Dagorn L (1994) The behavior of tropical tuna. Modeling using the artificial-life concept. Ecole Nationale Superior d’Agrunomie, Rennes, France. Thesis 250 pp
Drake JM, Lodge DM (2006) Forecasting potential distributions of nonindigenous species with a genetic algorithm. Fisheries 31(1):9–16
Engelhard GH, Heino M (2004) Maturity changes in Norwegian spring-spawning herring, before, during and after a major population collapse. Fish and Research 66(2–3):299–310
Englund G, Sernalle O, Cooper SD (1999) The importance of data selection criteria: meta-analysis of stream production experiments. Ecology 80(4):1132–1141
Failkowski LT, Dacol DK, Lingevitch JF, Kim E (2003) Rapid geoacustic inversion with a curved horizontal array. Journal of the Acoustical Society of America 113(4):2216
Fang H-Y (2003) The ocean community. Marine Georesources and Geotechnology 21(3–4):135–166
Grzymala-Busse JW (1988) Knowledge acquisition under uncertainty – a rough set approach. Journal of Intelligent Robotic Systems 1:3–16
Grzymala-Busse JW (1992) LERS: a system for learning from examples based on rough sets In: Slowinski R (ed) Intelligent decision support, handbook of applications and advances of rough sets theory. Kluwer, Dordrecht, The Netherlands, pp. 3–18
Grzymala-Busse JW (1997) A new version of the rule induction system LERS. Fundamata Informatica 31:27–39
Guinand B, Scribner KT, Topchy A, Page KS, Punch W, Barnhem-Curtis MK (2004) Sampling issues affecting accuracy of likelihood-based classification using genetical data. Environmental Biology of Fishes 69(1–4):245–259
Handee JC (1998) An expert system for marine environmental monitoring in The Florida Keys National Marine Sanctuary and Florida Bay. Environmental Coastal Regions pp. 56–66
Handee JC, Berkelmans R (2002) Expert system generated coral bleaching alerts for Myrmidon and Agincont reefs, Great Barrier Reef, Australia. Proceedings of the Ninth International and Reef Symposium, Bali 23–27 October 2:1089–1104
Hansen PJ, Koenig CC, Zdanewicz US (2004) Elemental composition of otoliths used to trace estuarine habitats of juvenile gag Mycteroperca microlepis along the west coast of Florida. Marine Ecology Progress Series 267:253–265
Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning – data mining Inference and prediction. Springer-Verlag, New York
Hernandes-Llamas A, Villereal-Colomares H (1999) TEMA: a software reference to shrimp Litopenaeas vannami farming practice. Aquaculture Economics and Management 3(3):267–280
Hernandez-Borges J, Corbella-Tena R, Rodrigues-Delgardo MA, Garcia-Montelongo FJ, Havel J (2004) Content of alephatic hydrocarbons in limpets as a new way for classification of species using artificial neural networks. Chemosphere 54(8) 1059–1069
Hsieh WW (2004) Nonlinear multivariate and time series analysis by neural network methods. Reviews of Geophysics 42(1):875–1209
Hu F, Chen W (2001) Catch prediction of chub mackerel in the East China Sea by using fish stock assessment expert system. Journal of Fisheries of China 25(5):465–473
Iguchi K, Matsurra K, McNyset K, Kristina M, Peterson A, Scachetti-Pereira R, Powers, K, Vieglais D, Wiley E, Yudo T (2004) Predicting invasions of North America basses in Japan using native range data and a genetic algorithm. Transactions of the American Fisheries Society 133(4):245–254
Jager HI, Rose KA (2003) Designing optimal flow patterns for fall Chinook salmon in a Central Valley, California, River. North American Journal of Fisheries Management 25(1):1–21
Jesus SM, Caiti A (1996) Estimating geoacoustic bottom properties from towed array data. Journal of Computational Acoustics 4(3):273–290
Joy MK, Death RG (2004) Predictive modeling and spatial mapping in freshwater fish and decapod assemblages using GIS and neural networks. Freshwater Biology 49(1):1036–1052
Knud-Hansen CF, Hopkins KD, Guttman H (2003) A comparative analysis of the fixed input, computer modeling, and algal bioassay approaches for identifying pond fertilization requirements for semi-intensive aquaculture. Aquaculture 228(1–4):189–214
Kolodner J (1993) Case-based reasoning. M. Kauffmann, San Mateo, California
Korrubel JL, Bloomer SF, Cochrane KL, Hutchings L, Field JG (1998) Forecasting in South African pelagic fisheries management: the use of expert and decision support systems. South African Journal of Marine Science 19:415–423
Kristensen NP, Gabric A, Braddock R, Cropp R (2003) Is maximizing resilience compatible with established goal functions? Ecological Modeling 169(1):61–71
Langton CG (1989) Artificial life. Proceedings of an interdisciplinary workshop on the synthesis and simulation of living systems. Addison-Wesley Publishing, Redwood City, New York
Lawson K, Godday P (2001) Marine reserves: designing cost effective options. Economics of marine protected areas: a conference held at the UBS Fisheries Centre, July 2000. Fisheries Research Report 9(8):114–120
Le Page C (1996) Population dynamics and artificial life. Methodes d’etude des systemes halieutiques et aquacoles. Orstom, Paris (France) Colloques et seminares. Instat Francais de Researche Scientifigue pour de Developpement en Cooperation/Orstom, Paris, pp. 205–209
Lee PG, Lee RN, Prebilsky W, Turk DE, Ying H, Whitson JL (2000) Denitrification in aquaculture systems: an example of a fuzzy logic control problem. Aquacultural Engineering 23(1–3):37–59
Leffaile P, Baisez A, Rigend E, Feunteun E (2004) Habitat preferences of different European eel size classes in a reclaimed marsh: a combination to species and ecosystem conservation. Wetlands 24(3):642–651
Li D, Fu Z, Duan Y (2002) Fish-Expert: a web-based expert system for fish disease diagnosis. Expert Systems with Applications 23(3):311–320
Lin TY, Wildberger A (eds) (1995) Soft-computing: rough sets, fuzzy logic. neural networks, uncertainty management. Uncertainty Management Knowledge Discovery Simulation Councils, Inc., San Diego, California
Mackinson S (2000) An adaptive fuzzy expert system for predicting structure, dynamics, and distribution of herring shoals. Ecological Modelling 126(2–3):155–178
Mackinson S (2001) Integrating local and scientific knowledge: an example in fisheries science. Environmental Management 27(4):533–545
Main J, Dillon TS, Shiu SCR (2001) A tutorial on case-based reasoning. In: Pal SK, Dillon TS, Young DS (eds) Soft computing in case-based reasoning. Springer-Verlag, London, pp. 2–27
Maloney CL, Vanderingen CD, Hutchings C, Field GJ (2004) Contributions of the Benguela ecology programme to pelagic fisheries management in South Africa (2004) South African Journal of Marine Science 26:37–51
Miller DCM , Field JS (2002) Predicting recruitment in South African anchovy-an expert system approach. Southern African Marine Science Ssposium (SAMSS 2002)
Mwale D, Shen SSP, Gan JY (2005) Hilbert transforms, neural network genetic algorithms and disaggregation for the prediction of weekly annual streamflow from seasonal oceanic variability. American Meteorological Society Conference on Hydrology 19
Myers RA, MacKenzie BR, Bowen KC, Barrowman MJ (2001) What is the carrying capacity for fish in the ocean? A meta-analysis of population dynamics of North Atlantic cod (2001). Canadian Journal of Fisheries and Aquatic Sciences 58(7):1464–1476
Myers RA, Mertz G (1998) Reducing uncertainty in the biological basis of fisheries management by meta-analysis of data from many populations: a synthesis. Fisheries Research 37(1–3):51–60
Newell C, Richardson J (2003) An expert system for the optimization of shellfish raft culture. Journal of Shellfish Research 22(1):347
Orlowska E (ed) (1998) Incomplete information: rough set analysis. Physica-Verlag, Heidelberg
Painting SJ, Korrubel JL (1998) Forecasts of recruitment in South African anchovy from SARP field data using a deterministic expert system. South African Journal of Marine Science 14:245–261
Pal SK and Shiu SCK (2004) Foundations of soft case-based reasoning. Wiley, Hoboken, New Jersey
Pawlak Z (1982) Rough sets. International Journal of Informatics and Computer Science 11:341–356
Pawlak Z (1991) Rough sets, theoretical aspects of reasoning about data. Kluwer, Dordrecht, The Netherlands
Pawlak Z (1999) Rough set theory for intelligent industrial applications. Proceedings of the second international conference on intelligent processing and manufacturing materials (IPM-95). IECF Press, Piscateway, New Jersey Vol. 1, pp. 37–44
Pawlak Z, Grzymala-Busse JM, Slowinski RM, Ziarko W (1993) Managing uncertainty in expert systems. Kluwer, Dordrecht, The Netherlands
Pawlak Z, Grzymala-Busse JM, Slowinski RM, Ziarkow W (1995) Rough Sets. Communications of the ACM 38(11):89–95
Pei H, Lao N, Jiang Y (2004) Applications of back propagation neural network for predicting the concentrations of chlorophyll-a in West Lake. Acta Ecologica Sinica 24(2):246–251
Perez-Lasada M, Hoeeg JT, Crandall KA (2004) Unraveling the evolutionary radiation of the Thoracican barnacles using molecular and morphological evidence: a comparison of several divergent time estimation approaches. Systematic Biology 33(2):244–264
Polkowski L (2002) Rough sets. Physica-Verlag, Heidelberg
Rogers LL, Dowle FS, Johnson VM (1995) Optimal field-scale groundwater remediation using neural networks and the genetic algorithm. Environmental Science and Technology 29(5):1145–1155
Rossi L, Slowinski R, Susmaga R (1999) Rough set approach to the evaluation of stormwater pollution. International Journal of the Environment and Pollution 12(2/3):232–250
Saila, SB (1996) Guide to some computerized artificial intelligence methods. In: Megrey B, Moksness E (eds) Computers in fisheries research. Chapman and Hall, New York, pp. 8–40
Saila SB (1997) Fuzzy control theory applied to American lobster management. Developing and sustaining world fisheries resources, the state of science and management, 3rd World Fisheries Congress Proceedings, pp 204–208
Saila SB (2005) Neural networks used in classification with emphasis on biological populations. In: Cadrin S, Friedland KD, Waldman J (eds) Stock identification methods applications in fishery science. Elsevier, Amsterdam, pp. 553–569
Salas CF, Koc L, Bales L (2004) Predictions of missing wave data by recurrent neural nets. Journal of Waterway, Port, Coastal and Ocean Engineering 130(5):256–265
Shieh HI, Peralta RC (2005) Optimal insitu bioremediation design by hybrid genetic algorithm-simulated annealing. Journal of Water Resources Planning and Management 131(1):61–78
Slowinski R (ed) (1992) Intelligent decision support handbook of applications and advances of the rough set theory. Kluwer, Derdrecht, The Netherlands
Slowinski R (1995) Rough set approach to decision analysis. AI Expert 10(3):19–25
Strand E (2003) Adaptive models of vertical migration in fish. Dissertation, University of Bergen, Department of Fisheries and Marine Biology. Bergen, Norway, 213pp
Taylor C, Jefferson D (1994) Artificial life as a tool for biological inquiry. Artificial Life 1:1–13
Taylor MJ, White KR (1992) A meta-analysis of hooking mortality of nonanadramous trout. North American Journal of Fisheries Management 12(4):760–767
Teegavarapu RV, Simonovic SP (2002) Optimal operation of reservoir systems using simulated annealing. Water Resources Management 11(5):401–428
Terzopoules DK, Tu X, Grzeszczuk R (1995) Artificial fishes: autonomous locomotion, perception, behavior and learning in a simulated physical world. Artificial Life 1:327–351
Ulanowicz RE (1986) Growth and development: ecosystems phenomenology. Springer-Verlag, New York
Ulanowicz RE (2005) Ecological network analysis: an escape from the machine. In: Belgravo A, Schafer WM, Dunne J, Ulanowicz R (eds) Aquatic food webs, an ecosystem approach. Oxford University Press, New York
Walters CJ, Martell SJD (2004) Fisheries ecology and management. Princeton University Press, Princeton, New Jersey
Watters G, Deriso R (2000) Catches per unit of effort of bigeye tuna: a new analysis with regression trees and simulated annealing. Bulletin Inter-American Tropical Tuna Commission 21(8):531–552
Yunyan D, Le L, Su F, Tianyu Z, Xiaomei Y (2004) CBK spatial similarity analysis on mesoscale ocean eddies with remote sensing data. Indian Journal of Marine Sciences 33(4):319–338
Zeldis D, Prescott S (2000) Fish disease diagnostic program – problems and some solutions. Aquacultural Engineering 23(1–3):3–71
Ziarko W (ed) (1995) Rough sets, fuzzy sets, and knowledge discovery (RSKD '93). Workshop in Computing Series, Springer-Verlag, London
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Saila, S.B. (2009). Extended Guide to Some Computerized Artificial Intelligence Methods. In: Megrey, B.A., Moksness, E. (eds) Computers in Fisheries Research. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8636-6_3
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