【摘要】 分析和研究了热力学熵及信息熵,指出信息和热力学之间的内在关联,并利用耗散结构理论和隐含并行性分析智能算法的热力学本质,得出热力学与计算机算法的能耗、隐含并行性、智能性之间的内在联系,得出智能算法的能耗即为缺损的能量的结论,可以用热力学观点来分析与判定热力学算法性能.最后用相同规模算法和不同规模算法热力学特性实验分析验证智能算法性能评判结论,对智能算法的研究给出新的启示.更多还原

【Abstract】 The article analyzes and researches thermodynamics entropy and information entropy to point out the internal relation between information and thermodynamics,it also utilize dissipative structure theory and implicit parallelism to analyze thermodynamic essence of intelligent algorithms,then get the internal relation between thermodynamics and energy consumption of computer algorithms,implicit parallelism,intelligent algorithms,and get the conclusion that energy consumption of intelligent algorithms is lost energy.Finally,thermodynamic characteristic test of same scale algorithms and different scale algorithms is utilized to analyze and verify performance of intelligent algorithms and judge conclusion,which offers a new inspiration to research of intelligent algorithm.更多还原