We carried out a general survey of current situations of P.intermedius S.Y.Chen.Results show that P.intermedius S.Y.Chen is distributed in Dongkeng Township,Jingnan Township and Yanxi Township.It covers an area of 262...We carried out a general survey of current situations of P.intermedius S.Y.Chen.Results show that P.intermedius S.Y.Chen is distributed in Dongkeng Township,Jingnan Township and Yanxi Township.It covers an area of 262.51 hm2.The distribution areas are narrow and limited.What's worse,it suffers from serious destruction and has been withered in large areas.Besides,according to current introduction test,it is difficult to survive in other places.In accordance with Exploring the Criteria for Endangered Categories of Bamboo Species from China put forward by Ma Naixun et al from the Research Institute of Subtropical Forestry of Chinese Academy of Forestry(RISFCAF),we propose incorporating P.intermedius S.Y.Chen into vulnerable species for protection.展开更多
针对耦合神经P系统利用脉冲机制实现区域生长依赖于初始种子点选择的问题,提出一种自适应区域生长耦合神经P系统(adaptive region growing coupled neural P systems,ARGCNP)的图像分割方法。该方法利用金豺优化算法(golden jackal opti...针对耦合神经P系统利用脉冲机制实现区域生长依赖于初始种子点选择的问题,提出一种自适应区域生长耦合神经P系统(adaptive region growing coupled neural P systems,ARGCNP)的图像分割方法。该方法利用金豺优化算法(golden jackal optimization,GJO)的全局搜索能力,通过引入四种策略提升GJO的全局寻优性能,从而在图像中寻找最佳阈值点,以优化区域生长中的种子点选择。在实验中,首先通过CEC2017测试函数对改进后的GJO进行性能测试,结果表明改进后的GJO在测试函数上整体性能第一;随后将ARGCNP应用于分割彩色图像和医学图像,以峰值信噪比等三个指标对分割效果进行量化评价,分割结果显示该方法能够提升分割精度及分割结果的稳定性,证明ARGCNP在应用场景下具有的优势,能够满足图像分割需求。展开更多
文摘We carried out a general survey of current situations of P.intermedius S.Y.Chen.Results show that P.intermedius S.Y.Chen is distributed in Dongkeng Township,Jingnan Township and Yanxi Township.It covers an area of 262.51 hm2.The distribution areas are narrow and limited.What's worse,it suffers from serious destruction and has been withered in large areas.Besides,according to current introduction test,it is difficult to survive in other places.In accordance with Exploring the Criteria for Endangered Categories of Bamboo Species from China put forward by Ma Naixun et al from the Research Institute of Subtropical Forestry of Chinese Academy of Forestry(RISFCAF),we propose incorporating P.intermedius S.Y.Chen into vulnerable species for protection.
文摘针对耦合神经P系统利用脉冲机制实现区域生长依赖于初始种子点选择的问题,提出一种自适应区域生长耦合神经P系统(adaptive region growing coupled neural P systems,ARGCNP)的图像分割方法。该方法利用金豺优化算法(golden jackal optimization,GJO)的全局搜索能力,通过引入四种策略提升GJO的全局寻优性能,从而在图像中寻找最佳阈值点,以优化区域生长中的种子点选择。在实验中,首先通过CEC2017测试函数对改进后的GJO进行性能测试,结果表明改进后的GJO在测试函数上整体性能第一;随后将ARGCNP应用于分割彩色图像和医学图像,以峰值信噪比等三个指标对分割效果进行量化评价,分割结果显示该方法能够提升分割精度及分割结果的稳定性,证明ARGCNP在应用场景下具有的优势,能够满足图像分割需求。
