Publication Information

{'id': 'https://openalex.org/W2104698839', 'doi': 'https://doi.org/10.1109/icsmc.1997.635312', 'title': 'Application of artificial neural network model for optical character recognition', 'display_name': 'Application of artificial neural network model for optical character recognition', 'publication_year': 2002, 'publication_date': '2002-11-22', 'ids': {'openalex': 'https://openalex.org/W2104698839', 'doi': 'https://doi.org/10.1109/icsmc.1997.635312', 'mag': '2104698839'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icsmc.1997.635312', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], '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/A5110239392', 'display_name': 'N. Mani', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I56590836', 'display_name': 'Monash University', 'ror': 'https://ror.org/02bfwt286', 'country_code': 'AU', 'type': 'education', 'lineage': ['https://openalex.org/I56590836']}], 'countries': ['AU'], 'is_corresponding': False, 'raw_author_name': 'N. Mani', 'raw_affiliation_strings': ['Department of Electrical and Computer Systems Engineering, Monash University, Caulfield Campus, VIC, Australia'], 'affiliations': [{'raw_affiliation_string': 'Department of Electrical and Computer Systems Engineering, Monash University, Caulfield Campus, VIC, Australia', 'institution_ids': ['https://openalex.org/I56590836']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5012351161', 'display_name': 'B. Srinivasan', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I56590836', 'display_name': 'Monash University', 'ror': 'https://ror.org/02bfwt286', 'country_code': 'AU', 'type': 'education', 'lineage': ['https://openalex.org/I56590836']}], 'countries': ['AU'], 'is_corresponding': False, 'raw_author_name': 'B. Srinivasan', 'raw_affiliation_strings': ['Department of Computer Technology, Monash University, Caulfield Campus, VIC, Australia'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Technology, Monash University, Caulfield Campus, VIC, Australia', 'institution_ids': ['https://openalex.org/I56590836']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 46, 'citation_normalized_percentile': {'value': 0.949043, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 91, 'max': 92}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10320', 'display_name': 'Neural Networks and Applications', 'score': 0.9978, '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'}}, 'topics': [{'id': 'https://openalex.org/T10320', 'display_name': 'Neural Networks and Applications', 'score': 0.9978, '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'}}, {'id': 'https://openalex.org/T13734', 'display_name': 'Advanced Computational Techniques and Applications', 'score': 0.945, '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'}}, {'id': 'https://openalex.org/T14339', 'display_name': 'Image Processing and 3D Reconstruction', 'score': 0.9411, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, '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/backpropagation', 'display_name': 'Backpropagation', 'score': 0.6987046}, {'id': 'https://openalex.org/keywords/feedforward-neural-network', 'display_name': 'Feedforward neural network', 'score': 0.62815815}, {'id': 'https://openalex.org/keywords/neocognitron', 'display_name': 'Neocognitron', 'score': 0.5989774}, {'id': 'https://openalex.org/keywords/physical-neural-network', 'display_name': 'Physical neural network', 'score': 0.55703384}, {'id': 'https://openalex.org/keywords/optical-character-recognition', 'display_name': 'Optical character recognition', 'score': 0.50722456}], 'concepts': [{'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.84470093}, {'id': 'https://openalex.org/C175202392', 'wikidata': 'https://www.wikidata.org/wiki/Q2434543', 'display_name': 'Time delay neural network', 'level': 3, 'score': 0.8247276}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.7660669}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.7569326}, {'id': 'https://openalex.org/C155032097', 'wikidata': 'https://www.wikidata.org/wiki/Q798503', 'display_name': 'Backpropagation', 'level': 3, 'score': 0.6987046}, {'id': 'https://openalex.org/C173079777', 'wikidata': 'https://www.wikidata.org/wiki/Q4299350', 'display_name': 'Nervous system network models', 'level': 5, 'score': 0.6738197}, {'id': 'https://openalex.org/C47702885', 'wikidata': 'https://www.wikidata.org/wiki/Q5441227', 'display_name': 'Feedforward neural network', 'level': 3, 'score': 0.62815815}, {'id': 'https://openalex.org/C121144440', 'wikidata': 'https://www.wikidata.org/wiki/Q669754', 'display_name': 'Neocognitron', 'level': 4, 'score': 0.5989774}, {'id': 'https://openalex.org/C33766855', 'wikidata': 'https://www.wikidata.org/wiki/Q7189618', 'display_name': 'Physical neural network', 'level': 5, 'score': 0.55703384}, {'id': 'https://openalex.org/C134342201', 'wikidata': 'https://www.wikidata.org/wiki/Q7246859', 'display_name': 'Probabilistic neural network', 'level': 4, 'score': 0.5401624}, {'id': 'https://openalex.org/C177973122', 'wikidata': 'https://www.wikidata.org/wiki/Q7860946', 'display_name': 'Types of artificial neural networks', 'level': 4, 'score': 0.53317744}, {'id': 'https://openalex.org/C2780861071', 'wikidata': 'https://www.wikidata.org/wiki/Q1062934', 'display_name': 'Character (mathematics)', 'level': 2, 'score': 0.5298585}, {'id': 'https://openalex.org/C546480517', 'wikidata': 'https://www.wikidata.org/wiki/Q167555', 'display_name': 'Optical character recognition', 'level': 3, 'score': 0.50722456}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.4881018}, {'id': 'https://openalex.org/C108583219', 'wikidata': 'https://www.wikidata.org/wiki/Q197536', 'display_name': 'Deep learning', 'level': 2, 'score': 0.4730025}, {'id': 'https://openalex.org/C147168706', 'wikidata': 'https://www.wikidata.org/wiki/Q1457734', 'display_name': 'Recurrent neural network', 'level': 3, 'score': 0.4554538}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.3987656}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icsmc.1997.635312', 'pdf_url': None, 'source': None, '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': 6, 'referenced_works': ['https://openalex.org/W2002016471', 'https://openalex.org/W2092189669', 'https://openalex.org/W2105141346', 'https://openalex.org/W2111822866', 'https://openalex.org/W2155818555', 'https://openalex.org/W4300402905'], 'related_works': ['https://openalex.org/W651238688', 'https://openalex.org/W4387656273', 'https://openalex.org/W4317438634', 'https://openalex.org/W4298005615', 'https://openalex.org/W2950917560', 'https://openalex.org/W2950022897', 'https://openalex.org/W2440925417', 'https://openalex.org/W2378845890', 'https://openalex.org/W2104698839', 'https://openalex.org/W1595652908'], 'abstract_inverted_index': {'Many': [0], 'artificial': [1, 24, 46], 'neural': [2, 25, 47, 56, 77], 'network': [3, 26, 48, 57], 'models': [4], '(ANNs)': [5], 'have': [6], 'been': [7, 60], 'proposed': [8], 'to': [9, 49], 'mimic': [10], 'the': [11, 76], 'human': [12], 'brain': [13], 'in': [14, 35, 75], 'solving': [15], 'problems': [16], 'involving': [17], 'human-like': [18], 'intelligence.': [19], 'An': [20], 'application': [21], 'of': [22, 65], 'an': [23, 45], 'approach': [27], 'for': [28, 73], 'optical': [29], 'character': [30, 51], 'recognition': [31], '(OCR)': [32], 'is': [33, 71], 'discussed': [34], 'this': [36], 'paper.': [37], 'We': [38], 'examine': [39], 'a': [40], 'simple': [41, 54], 'pattern-recognition': [42], 'system': [43], 'using': [44], 'simulate': [50], 'recognition.': [52], 'A': [53], 'feedforward': [55], 'model': [58], 'has': [59], 'trained': [61], 'with': [62], 'different': [63], 'sets': [64], 'noisy': [66], 'data.': [67], 'The': [68], 'backpropagation': [69], 'method': [70], 'used': [72], 'learning': [74], 'network.': [78]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2104698839', 'counts_by_year': [{'year': 2024, 'cited_by_count': 2}, {'year': 2023, 'cited_by_count': 3}, {'year': 2022, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 2}, {'year': 2020, 'cited_by_count': 4}, {'year': 2019, 'cited_by_count': 1}, {'year': 2018, 'cited_by_count': 4}, {'year': 2017, 'cited_by_count': 2}, {'year': 2016, 'cited_by_count': 6}, {'year': 2015, 'cited_by_count': 3}, {'year': 2014, 'cited_by_count': 3}, {'year': 2013, 'cited_by_count': 2}, {'year': 2012, 'cited_by_count': 5}], 'updated_date': '2024-12-24T14:17:08.753567', 'created_date': '2016-06-24'}