摘要
一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑在一份新的报告中讨论了机器学习的研究结果。根据《中国人民共和国温州新闻》的报道，NewsRx编辑的研究表明：“灰狼优化器(GWO)在许多领域都是一种很有价值的启发式算法，但对于一些复杂问题，特别是高维和多模态问题，基本算法h计算量有限，无法得到令人满意的答案。”资助单位包括生物技术与生物科学研究委员会(BBSRC)、国家哲学社会科学办公室、浙江省自然科学基金、中国国家自然科学基金(NSFC)、英国医学研究委员会(MRC)、英国皇家学会、英国心脏基金会、希望癌症研究基金会、英国研究与创新(UKRI)、中英工业基金、LIAS、数据科学增强基金、Fight F or Sight。中英教育基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting out of Wenzhou, People’s Republi c of China, by NewsRx editors, research stated, “Grey wolf optimizer (GWO) is a highly valued heuristic algorithm in many fields. However, for some complex prob lems, especially high-dimensional and multimodal problems, the basic algorithm h as limited computational power and cannot get a satisfactory answer.” Funders for this research include Biotechnology and Biological Sciences Research Council (BBSRC), National Office of Philosophy and Social Sciences, Natural Sci ence Foundation of Zhejiang Province, National Natural Science Foundation of Chi na (NSFC), Medical Research Council UK (MRC), Royal Society, British Heart Found ation, Hope Foundation for Cancer Research, UK Research & Innovati on (UKRI), Sino-UK Industrial Fund, LIAS, Data Science Enhancement Fund, Fight f or Sight, Sino-UK Education Fund.
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