{"id":"https://openalex.org/W3194021202","doi":"https://doi.org/10.1145/3469213.3470223","title":"Prediction of Soil Moisture Content Based on Improved BP Neural Network","display_name":"Prediction of Soil Moisture Content Based on Improved BP Neural Network","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3194021202","doi":"https://doi.org/10.1145/3469213.3470223","mag":"3194021202"},"language":"en","primary_location":{"id":"doi:10.1145/3469213.3470223","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469213.3470223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077664992","display_name":"Shulin He","orcid":"https://orcid.org/0000-0003-4817-5646"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Shulin","raw_affiliation_strings":["Heilongjiang University, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033041477","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-1006-7842"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]},{"id":"https://openalex.org/I4210091298","display_name":"East University Of Heilongjiang","ror":"https://ror.org/00hd4jd19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091298"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yong","raw_affiliation_strings":["Heilongjiang University and Heilongjiang East Water Saving Equipment Co.,Ltd, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University and Heilongjiang East Water Saving Equipment Co.,Ltd, China","institution_ids":["https://openalex.org/I4210091298","https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113749969","display_name":"Sun Haiyang","orcid":null},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Haiyang","raw_affiliation_strings":["Heilongjiang University, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075636322","display_name":"Zheng Kaiwen","orcid":"https://orcid.org/0000-0002-5429-752X"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Kaiwen","raw_affiliation_strings":["Heilongjiang University, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085107020","display_name":"Yandi Zhang","orcid":"https://orcid.org/0000-0001-6268-5461"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yandi","raw_affiliation_strings":["Heilongjiang University, China"],"affiliations":[{"raw_affiliation_string":"Heilongjiang University, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077664992"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.5493,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65620006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9638000130653381,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9638000130653381,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9376000165939331,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9239000082015991,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.8124138116836548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7356787323951721},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.66875159740448},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6669960021972656},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5948964953422546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.534807562828064},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5214996933937073},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.5106292366981506},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4891253113746643},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.45692089200019836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45665064454078674},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4479469954967499},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44386032223701477},{"id":"https://openalex.org/keywords/rprop","display_name":"Rprop","score":0.44149312376976013},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.43971937894821167},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4117969870567322},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.3646891713142395},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.1380215585231781},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.06942570209503174}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8124138116836548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356787323951721},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.66875159740448},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6669960021972656},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5948964953422546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.534807562828064},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5214996933937073},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.5106292366981506},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4891253113746643},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.45692089200019836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45665064454078674},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4479469954967499},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44386032223701477},{"id":"https://openalex.org/C98359873","wikidata":"https://www.wikidata.org/wiki/Q1320470","display_name":"Rprop","level":5,"score":0.44149312376976013},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.43971937894821167},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4117969870567322},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.3646891713142395},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.1380215585231781},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.06942570209503174},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469213.3470223","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469213.3470223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3121063740"],"related_works":["https://openalex.org/W2393330879","https://openalex.org/W1993284797","https://openalex.org/W2105861781","https://openalex.org/W2155497161","https://openalex.org/W1834956765","https://openalex.org/W4321635597","https://openalex.org/W2160276773","https://openalex.org/W134147594","https://openalex.org/W2127634602","https://openalex.org/W2138895342"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,57,67,71,84,88,93,106],"problem":[3],"of":[4,15,56,70,96],"slow":[5],"convergence":[6],"speed":[7,65],"and":[8,43,99,103],"easy":[9],"to":[10,48,64],"fall":[11],"into":[12],"local":[13],"optimum":[14],"traditional":[16],"BP":[17,22,34,50,97],"neural":[18,23,35,51,74],"network,":[19],"an":[20],"improved":[21],"network":[24,36],"algorithm":[25,32,58],"is":[26],"proposed":[27],"in":[28,87],"this":[29],"paper.":[30],"The":[31,53,76],"trains":[33],"by":[37],"small":[38],"batch":[39],"gradient":[40],"descent":[41],"method,":[42],"introduces":[44],"adaptive":[45],"learning":[46,54,68,89,94,107],"factor":[47],"improve":[49],"network.":[52,75],"rate":[55],"can":[59,104],"be":[60],"adjusted":[61],"with":[62,109],"time":[63],"up":[66,92],"process":[69,95],"multilayer":[72],"feed-forward":[73],"verification":[77],"shows":[78],"that":[79],"it":[80],"effectively":[81],"slows":[82],"down":[83],"vibration":[85],"phenomenon":[86],"process,":[90],"speeds":[91],"algorithm,":[98],"has":[100],"good":[101],"robustness,":[102],"complete":[105],"task":[108],"high":[110],"precision.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}