%0 Journal Article %T Distinguishable Methods and Applications of Grey Increment Parameter in Extension Model of Biological Population Logistic
生物种群Logistic扩展模型灰色增量生成参数辨识方法及应用 %A SUN Quan-min %A WANG Zhan-li %A SHAO Ming-an %A
孙全敏 %A 王占礼 %A 邵明安 %J 系统工程理论与实践 %D 2000 %I %X The general form of Logistic extension model LM (n,1) was put forword, the inner growth rate was extended into variable parameter with comprehensive vibration characteristics, it has clear parameter in biological and ecological field, based on the principle of model establishment in micro grey model and the character of dispersal date alignment. The principle and model of grey model system was worked out gradually, so that the effective and standard parameter method was provided for LM (n,1) model and some growth curve, simulatian.GMS\%(n,1) model is rich in information and can be used widely. The practical simulation result showed that it has high precision. %K biological population %K logistic extension model %K grey model %K GMS %K (n %K 1)
生物种群 %K Logistic扩展模型 %K 灰色GMS(n %K 1)模型 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=644BED6027DAE6A9&yid=9806D0D4EAA9BED3&vid=A04140E723CB732E&iid=5D311CA918CA9A03&sid=03F1579EF92A5A32&eid=A63576421B012172&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=6&reference_num=0