Publication Information

{'id': 'https://openalex.org/W2369018914', 'doi': None, 'title': 'Prediction of improved BP neural network by Adaboost algorithm', 'display_name': 'Prediction of improved BP neural network by Adaboost algorithm', 'publication_year': 2013, 'publication_date': '2013-01-01', 'ids': {'openalex': 'https://openalex.org/W2369018914', 'mag': '2369018914'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJK201308018.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764843325', 'display_name': 'Computer Engineering and Science', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4324392727', 'host_organization_name': 'National University of Defense Technology', 'host_organization_lineage': ['https://openalex.org/P4324392727'], 'host_organization_lineage_names': ['National University of Defense Technology'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5102216429', 'display_name': 'Quanyin Zhu', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210153869', 'display_name': 'Huaiyin Institute of Technology', 'ror': 'https://ror.org/0555ezg60', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I4210153869']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Zhu Quan-yin', 'raw_affiliation_strings': ['Faculty of Computer Engineering,Huaiyin Institute of Technology,Huai’an 223003,China)'], 'affiliations': [{'raw_affiliation_string': 'Faculty of Computer Engineering,Huaiyin Institute of Technology,Huai’an 223003,China)', 'institution_ids': ['https://openalex.org/I4210153869']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5102216429'], 'corresponding_institution_ids': ['https://openalex.org/I4210153869'], 'apc_list': None, 'apc_paid': None, 'fwci': 0.496, 'has_fulltext': False, 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.620605, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 65, 'max': 72}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T14225', 'display_name': 'Advanced Sensor and Control Systems', 'score': 0.8936, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T14225', 'display_name': 'Advanced Sensor and Control Systems', 'score': 0.8936, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T13717', 'display_name': 'Advanced Algorithms and Applications', 'score': 0.8759, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T14474', 'display_name': 'Industrial Technology and Control Systems', 'score': 0.8468, 'subfield': {'id': 'https://openalex.org/subfields/2207', 'display_name': 'Control and Systems Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/adaboost', 'display_name': 'AdaBoost', 'score': 0.6681215}, {'id': 'https://openalex.org/keywords/backpropagation', 'display_name': 'Backpropagation', 'score': 0.5964627}], 'concepts': [{'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.83984673}, {'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.7969502}, {'id': 'https://openalex.org/C141404830', 'wikidata': 'https://www.wikidata.org/wiki/Q2823869', 'display_name': 'AdaBoost', 'level': 3, 'score': 0.6681215}, {'id': 'https://openalex.org/C155032097', 'wikidata': 'https://www.wikidata.org/wiki/Q798503', 'display_name': 'Backpropagation', 'level': 3, 'score': 0.5964627}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.5750465}, {'id': 'https://openalex.org/C175202392', 'wikidata': 'https://www.wikidata.org/wiki/Q2434543', 'display_name': 'Time delay neural network', 'level': 3, 'score': 0.5049477}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.50470626}, {'id': 'https://openalex.org/C177148314', 'wikidata': 'https://www.wikidata.org/wiki/Q170084', 'display_name': 'Generalization', 'level': 2, 'score': 0.48934692}, {'id': 'https://openalex.org/C134342201', 'wikidata': 'https://www.wikidata.org/wiki/Q7246859', 'display_name': 'Probabilistic neural network', 'level': 4, 'score': 0.4325818}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.42709124}, {'id': 'https://openalex.org/C16910744', 'wikidata': 'https://www.wikidata.org/wiki/Q7705759', 'display_name': 'Test data', 'level': 2, 'score': 0.41931632}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.35548204}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.097317785}, {'id': 'https://openalex.org/C12267149', 'wikidata': 'https://www.wikidata.org/wiki/Q282453', 'display_name': 'Support vector machine', 'level': 2, 'score': 0.06994721}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', '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': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJK201308018.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764843325', 'display_name': 'Computer Engineering and Science', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/P4324392727', 'host_organization_name': 'National University of Defense Technology', 'host_organization_lineage': ['https://openalex.org/P4324392727'], 'host_organization_lineage_names': ['National University of Defense Technology'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3138690044', 'https://openalex.org/W2946010300', 'https://openalex.org/W2876605334', 'https://openalex.org/W2840370471', 'https://openalex.org/W2606183897', 'https://openalex.org/W2391372795', 'https://openalex.org/W2388580760', 'https://openalex.org/W2385461728', 'https://openalex.org/W2385442945', 'https://openalex.org/W2384414116', 'https://openalex.org/W2378774914', 'https://openalex.org/W2375446027', 'https://openalex.org/W2365463870', 'https://openalex.org/W2363708524', 'https://openalex.org/W2361621517', 'https://openalex.org/W2348696341', 'https://openalex.org/W2134524912', 'https://openalex.org/W2025883075', 'https://openalex.org/W1999863729', 'https://openalex.org/W1557446017'], 'abstract_inverted_index': {'The': [0, 111, 123], 'traditional': [1, 142], 'BP': [2, 30, 83, 99, 143], '(Back': [3], 'Propagation)': [4], 'neural': [5, 31, 45, 84, 100, 159], 'network': [6, 32, 75, 85, 101, 160], 'is': [7, 33, 119], 'easy': [8], 'to': [9, 19, 35, 78, 102, 140], 'fall': [10], 'into': [11], 'local': [12], 'minimum': [13], 'and': [14, 29, 40, 54, 74, 86, 145], 'has': [15], 'lower': [16], 'accuracy.': [17], 'According': [18], 'this': [20, 127, 153], 'problem,': [21], 'a': [22, 104], 'method': [23, 49, 128, 154], 'that': [24, 126], 'combines': [25], 'the': [26, 37, 44, 48, 51, 56, 88, 134, 141, 147, 158], 'Adaboost': [27, 109], 'algorithm': [28], 'proposed': [34], 'improve': [36, 146], 'prediction': [38, 148], 'accuracy': [39, 149], 'generalization': [41], 'ability': [42], 'of': [43, 59, 82, 98, 113, 116, 150], 'network.': [46, 151], 'Firstly,': [47], 'preprocesses': [50], 'historical': [52], 'data': [53, 90], 'initializes': [55], 'distribution': [57], 'weights': [58], 'test': [60], 'data.': [61], 'Secondly,': [62], 'it': [63, 93], 'selects': [64], 'different': [65], 'hidden': [66], 'layer': [67], 'nodes,': [68], 'node': [69], 'transfer': [70], 'functions,': [71, 73], 'training': [72], 'learning': [76], 'functions': [77], 'construct': [79], 'weak': [80, 96], 'predictors': [81, 97], 'trains': [87], 'sample': [89], 'repeatedly.': [91], 'Finally,': [92], 'made': [94], 'more': [95], 'form': [103], 'new': [105], 'strong': [106], 'predictor': [107], 'by': [108], 'algorithm.': [110], 'database': [112], 'UCI': [114], '(University': [115], 'California': [117], 'Irvine)': [118], 'used': [120], 'in': [121], 'experiments.': [122], 'results': [124], 'show': [125], 'can': [129], 'reduce': [130], 'nearly': [131], '50%': [132], 'for': [133, 157], 'mean': [135], 'error': [136], 'absolute': [137], 'value': [138], 'compared': [139], 'network,': [144], 'So': [152], 'provides': [155], 'references': [156], 'prediction.': [161]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2369018914', 'counts_by_year': [{'year': 2015, 'cited_by_count': 1}], 'updated_date': '2024-12-07T20:57:12.511101', 'created_date': '2016-06-24'}