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[null,"1.","Record Nr.",null,"UNISA996391136403316"]
[null,null,"Autore",null,"Hammond Henry <1605-1660.>"]
[null,null,"Titolo",null,"A collection of such answers and replies wherein the book of schisme is defended [[electronic resource] ] : against the opponents of the Roman-Catholick-Partie. By Hen: Hammond, D.D. The third volume"]
[null,null,"Pubbl/distr/stampa",null,"London, : printed for R Royston, at the Angel in Ivie-lane, M.DC.LVII. [1657]"]
[null,null,"Descrizione fisica",null,"[4], 185, [5], 74, 81-303, [1] p"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes reissues of: \"A reply to the Catholick gentlemans ansvver\" (Wing H598) and \"The disarmers dexterities examined.\" (Wing H536)"]
[{"$nulls":4},"Reproduction of original in the Folger Shakespeare Library."]
[null,null,null,"Sommario/riassunto","eebo-0055"]
[null,"2.","Record Nr.",null,"UNINA9910337596503321"]
[null,null,"Titolo",null,"Advances on Computational Intelligence in Energy : The Applications of Nature-Inspired Metaheuristic Algorithms in Energy / / edited by Tutut Herawan, Haruna Chiroma, Jemal H. Abawajy"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-319-69889-3"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (228 pages)"]
[null,null,"Collana",null,"Green Energy and Technology, , 1865-3537"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Electric power production"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Energy policy"]
[{"$nulls":4},"Energy and state"]
[{"$nulls":4},"Electrical Power Engineering"]
[{"$nulls":4},"Mechanical Power Engineering"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Energy Policy, Economics and Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Basic descriptions of computational intelligence algorithms (single, hybrid, ensemble, integrated and etc -- Credible sources of energy datasets -- Applications of computational algorithms in energy -- Practical application of cuckoo search and neural network in the prediction of OECD oil consumption -- Hybrid of Fuzzy systems and particle swarm optimization in the forecasting gas flaring from oil consumption -- Forecasting of OECD gas flaring using Elman neural network and cuckoo search algorithm -- Artificial bee colony and neural network for the forecasting of Malaysia renewable energy -- Soft computing methods in the modelling of OECD carbon dioxide emission from petroleum consumption -- Modelling energy crises based on Soft computing -- The forecasting of WTI and Dubai crude oil prices benchmarks based on soft computing -- A new approach for the forecasting of IAEA energy -- Modelling of gasoline prices using fuzzy multi-criteria decision making -- Soft computing for the prediction ofAustralia petroleum consumption based on OECD countries -- Future "]
[{"$nulls":4},"research problems in the area of computational intelligence algorithms in energy. ."]
[null,null,null,"Sommario/riassunto","Addressing the applications of computational intelligence algorithms in energy, this book presents a systematic procedure that illustrates the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and other energy products. Contributions include research findings, projects, surveying work and industrial experiences that describe significant advances in the applications of computational intelligence algorithms in energy. For easy understanding, the text provides practical simulation results, convergence and learning curves as well as illustrations and tables. Providing a valuable resource for undergraduate and postgraduate students alike, it is also intended for researchers in the fields of computational intelligence and energy."]