Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2037021038', 'doi': 'https://doi.org/10.1063/1.168453', 'title': 'A comparative study of temperature extremes analysis by regression methods and by an artificial neural network', 'display_name': 'A comparative study of temperature extremes analysis by regression methods and by an artificial neural network', 'publication_year': 1993, 'publication_date': '1993-05-01', 'ids': {'openalex': 'https://openalex.org/W2037021038', 'doi': 'https://doi.org/10.1063/1.168453', 'mag': '2037021038'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1063/1.168453', 'pdf_url': 'https://aip.scitation.org/doi/pdf/10.1063/1.168453', 'source': {'id': 'https://openalex.org/S204599871', 'display_name': 'Computers in Physics', 'issn_l': '0894-1866', 'issn': ['0894-1866', '1558-4208'], 'is_oa': False, 'is_in_doaj': False, 'is_indexed_in_scopus': True, 'is_core': False, 'host_organization': 'https://openalex.org/P4310320257', 'host_organization_name': 'American Institute of Physics', 'host_organization_lineage': ['https://openalex.org/P4310320257'], 'host_organization_lineage_names': ['American Institute of Physics'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'bronze', 'oa_url': 'https://aip.scitation.org/doi/pdf/10.1063/1.168453', 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5102126600', 'display_name': 'Swati Roy', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1338503839', 'display_name': 'Corning (United States)', 'ror': 'https://ror.org/02tfv4t78', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I1338503839']}, {'id': 'https://openalex.org/I188497080', 'display_name': 'Carleton College', 'ror': 'https://ror.org/03jep7677', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I188497080']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Swati Roy', 'raw_affiliation_strings': ['Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686'], 'affiliations': [{'raw_affiliation_string': 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686', 'institution_ids': ['https://openalex.org/I1338503839']}, {'raw_affiliation_string': 'Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'institution_ids': ['https://openalex.org/I188497080']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5064762351', 'display_name': 'W. L. Lee', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1338503839', 'display_name': 'Corning (United States)', 'ror': 'https://ror.org/02tfv4t78', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I1338503839']}, {'id': 'https://openalex.org/I188497080', 'display_name': 'Carleton College', 'ror': 'https://ror.org/03jep7677', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I188497080']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'W. L. (Nancy) Lee', 'raw_affiliation_strings': ['Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686'], 'affiliations': [{'raw_affiliation_string': 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686', 'institution_ids': ['https://openalex.org/I1338503839']}, {'raw_affiliation_string': 'Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'institution_ids': ['https://openalex.org/I188497080']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5044779961', 'display_name': 'James W. Mentele', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I1338503839', 'display_name': 'Corning (United States)', 'ror': 'https://ror.org/02tfv4t78', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I1338503839']}, {'id': 'https://openalex.org/I188497080', 'display_name': 'Carleton College', 'ror': 'https://ror.org/03jep7677', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I188497080']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'James W. Mentele', 'raw_affiliation_strings': ['Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686'], 'affiliations': [{'raw_affiliation_string': 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686', 'institution_ids': ['https://openalex.org/I1338503839']}, {'raw_affiliation_string': 'Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'institution_ids': ['https://openalex.org/I188497080']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5058648291', 'display_name': 'Richard Nau', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I188497080', 'display_name': 'Carleton College', 'ror': 'https://ror.org/03jep7677', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I188497080']}, {'id': 'https://openalex.org/I1338503839', 'display_name': 'Corning (United States)', 'ror': 'https://ror.org/02tfv4t78', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I1338503839']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Richard W. Nau', 'raw_affiliation_strings': ['Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686'], 'affiliations': [{'raw_affiliation_string': 'Department of Mathematics and Computer Science, Goodsell Observatory, Carleton College, Northfield, Minnesota 55057', 'institution_ids': ['https://openalex.org/I188497080']}, {'raw_affiliation_string': 'Numerically Intensive Computing Center, Dow Corning Corporation, C041B1, Midland, Michigan 48686', 'institution_ids': ['https://openalex.org/I1338503839']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 53}, 'biblio': {'volume': '7', 'issue': '3', 'first_page': '330', 'last_page': '335'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10466', 'display_name': 'Meteorological Phenomena and Simulations', 'score': 0.9867, 'subfield': {'id': 'https://openalex.org/subfields/1902', 'display_name': 'Atmospheric Science'}, 'field': {'id': 'https://openalex.org/fields/19', 'display_name': 'Earth and Planetary Sciences'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10466', 'display_name': 'Meteorological Phenomena and Simulations', 'score': 0.9867, 'subfield': {'id': 'https://openalex.org/subfields/1902', 'display_name': 'Atmospheric Science'}, 'field': {'id': 'https://openalex.org/fields/19', 'display_name': 'Earth and Planetary Sciences'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11490', 'display_name': 'Hydrological Forecasting Using AI', 'score': 0.9788, 'subfield': {'id': 'https://openalex.org/subfields/2305', 'display_name': 'Environmental Engineering'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10320', 'display_name': 'Neural Networks and Applications', 'score': 0.9696, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/data-set', 'display_name': 'Data set', 'score': 0.49448657}, {'id': 'https://openalex.org/keywords/root-mean-square', 'display_name': 'Root mean square', 'score': 0.43007958}], 'concepts': [{'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.82092035}, {'id': 'https://openalex.org/C83546350', 'wikidata': 'https://www.wikidata.org/wiki/Q1139051', 'display_name': 'Regression', 'level': 2, 'score': 0.6186821}, {'id': 'https://openalex.org/C48921125', 'wikidata': 'https://www.wikidata.org/wiki/Q10861030', 'display_name': 'Linear regression', 'level': 2, 'score': 0.60865676}, {'id': 'https://openalex.org/C139945424', 'wikidata': 'https://www.wikidata.org/wiki/Q1940696', 'display_name': 'Mean squared error', 'level': 2, 'score': 0.58836305}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.5696254}, {'id': 'https://openalex.org/C58489278', 'wikidata': 'https://www.wikidata.org/wiki/Q1172284', 'display_name': 'Data set', 'level': 2, 'score': 0.49448657}, {'id': 'https://openalex.org/C177264268', 'wikidata': 'https://www.wikidata.org/wiki/Q1514741', 'display_name': 'Set (abstract data type)', 'level': 2, 'score': 0.4891391}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.46904498}, {'id': 'https://openalex.org/C169903167', 'wikidata': 'https://www.wikidata.org/wiki/Q3985153', 'display_name': 'Test set', 'level': 2, 'score': 0.45350954}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.45231006}, {'id': 'https://openalex.org/C158622935', 'wikidata': 'https://www.wikidata.org/wiki/Q660848', 'display_name': 'Nonlinear system', 'level': 2, 'score': 0.43083242}, {'id': 'https://openalex.org/C71907059', 'wikidata': 'https://www.wikidata.org/wiki/Q223323', 'display_name': 'Root mean square', 'level': 2, 'score': 0.43007958}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.42353323}, {'id': 'https://openalex.org/C46889948', 'wikidata': 'https://www.wikidata.org/wiki/Q2755024', 'display_name': 'Nonlinear regression', 'level': 3, 'score': 0.4135528}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.36094558}, {'id': 'https://openalex.org/C127413603', 'wikidata': 'https://www.wikidata.org/wiki/Q11023', 'display_name': 'Engineering', 'level': 0, 'score': 0.11092365}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C119599485', 'wikidata': 'https://www.wikidata.org/wiki/Q43035', 'display_name': 'Electrical engineering', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.1063/1.168453', 'pdf_url': 'https://aip.scitation.org/doi/pdf/10.1063/1.168453', 'source': {'id': 'https://openalex.org/S204599871', 'display_name': 'Computers in Physics', 'issn_l': '0894-1866', 'issn': ['0894-1866', '1558-4208'], 'is_oa': False, 'is_in_doaj': False, 'is_indexed_in_scopus': True, 'is_core': False, 'host_organization': 'https://openalex.org/P4310320257', 'host_organization_name': 'American Institute of Physics', 'host_organization_lineage': ['https://openalex.org/P4310320257'], 'host_organization_lineage_names': ['American Institute of Physics'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1063/1.168453', 'pdf_url': 'https://aip.scitation.org/doi/pdf/10.1063/1.168453', 'source': {'id': 'https://openalex.org/S204599871', 'display_name': 'Computers in Physics', 'issn_l': '0894-1866', 'issn': ['0894-1866', '1558-4208'], 'is_oa': False, 'is_in_doaj': False, 'is_indexed_in_scopus': True, 'is_core': False, 'host_organization': 'https://openalex.org/P4310320257', 'host_organization_name': 'American Institute of Physics', 'host_organization_lineage': ['https://openalex.org/P4310320257'], 'host_organization_lineage_names': ['American Institute of Physics'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/13', 'score': 0.56, 'display_name': 'Climate action'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W4387896287', 'https://openalex.org/W4387327236', 'https://openalex.org/W4309907966', 'https://openalex.org/W4300172249', 'https://openalex.org/W3170838353', 'https://openalex.org/W2314720829', 'https://openalex.org/W2187490799', 'https://openalex.org/W2183488467', 'https://openalex.org/W2102148524', 'https://openalex.org/W1990237101'], 'abstract_inverted_index': {'This': [0], 'paper': [1], 'formulates': [2], 'and': [3, 16, 53, 73, 108, 140], 'tests': [4], 'a': [5, 26, 45, 49, 54, 134], 'mathematical': [6], 'model': [7, 21], 'for': [8, 68, 104, 137], 'the': [9, 20, 30, 59, 74, 91, 102, 105, 118, 131, 152], 'prediction': [10], 'of': [11, 29, 114, 142], 'historical': [12], 'average': [13], 'daily': [14], 'maximum': [15], 'minimum': [17], 'temperatures.': [18], 'First,': [19], 'is': [22, 88, 98, 123, 133], 'derived': [23], 'based': [24], 'on': [25], 'physical': [27], 'understanding': [28], 'problem.': [31], 'Then': [32], 'some': [33], 'available': [34], 'weather': [35, 93], 'data': [36, 138], 'are': [37, 66], 'analyzed': [38], 'by': [39, 62, 151], 'three': [40], 'traditional': [41], 'regression': [42, 47, 51], 'methods,': [43], 'namely,': [44], 'nonlinear': [46], 'method,': [48, 52], 'linear': [50], 'Fourier': [55], 'transform': [56], 'method.': [57], 'Using': [58], 'coefficients': [60], 'obtained': [61, 150], 'these': [63], 'analyses,': [64], 'temperatures': [65, 103], 'predicted': [67], 'an': [69, 80, 83], 'independent': [70], 'test': [71, 106], 'set': [72, 107], 'root-mean-square': [75], 'errors': [76], '(rms)': [77], 'determined.': [78, 111], 'In': [79], 'alternative': [81], 'approach,': [82], 'artificial': [84], 'neural': [85], 'network': [86], '(ANN)': [87], 'trained': [89, 96], 'using': [90], 'same': [92], 'data.': [94], 'The': [95, 112], 'ANN': [97, 121, 132], 'made': [99], 'to': [100, 148], 'predict': [101], 'its': [109], 'rms': [110, 115], 'variation': [113], 'values': [116], 'with': [117], 'change': [119], 'in': [120, 146], 'structure': [122], 'also': [124], 'observed.': [125], 'A': [126], 'comparative': [127], 'study': [128], 'shows': [129], 'that': [130], 'general': [135], 'tool': [136], 'analysis': [139], 'capable': [141], 'producing': [143], 'results': [144], 'comparable': [145], 'accuracy': [147], 'those': [149], 'more': [153], 'conventional': [154], 'methods.': [155]}, 'abstract_inverted_index_v3': None, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2037021038', 'counts_by_year': [], 'updated_date': '2025-01-22T04:22:42.095223', 'created_date': '2016-06-24'}