1) mind evolutionary computation
思维进化计算
1.
Solving job-shop scheduling with mind evolutionary computation;
应用思维进化计算求解作业车间调度问题
2.
A New Algorithm for Solving the Constrained Optimization Problems Based on Mind Evolutionary Computation;
基于思维进化计算求解约束优化问题的新算法
2) mind evolutionary algorithm
思维进化算法
1.
PID controller parameters optimization for the main steam temperature system based on improved mind evolutionary algorithm;
改进思维进化算法在过热汽温系统中的应用
2.
Convergence analysis of mind evolutionary algorithm based on sequence model;
基于数列模型的思维进化算法收敛性分析
3.
Improvement in the Mind Evolutionary Algorithm and Its Application;
思维进化算法的改进及应用
3) MEC
思维进化算法
1.
Neural Network Weights and Structure Optimization Based on MEC Algorithms;
基于思维进化算法的神经网络权值与结构优化
2.
Based on the fundamental Mind Evolutionary Computation (MEC), an effective method of similartaxis and dissimilation for MEC is present to solve modeling problem of systems of the ordinary differential equations.
在基本的思维进化算法(Mind Evolutionary Computation, 原名Mind-Evolution-Based Machine Learning)框架[1]的基础上,吸取遗传规划(GP)中的树形编码思想,提出了利用树结构进行信息抽取的方法,进而实现了用于常微分方程组演化建模的趋同、异化算子,并获取了优良的效果,使MEC在非数值优化领域中得到了进一步应用。
4) thinking computation
思维计算
1.
Based on the deep analysis of the theory of the thinking and intelligence studies,the concept of the thinking computation was presented for the first time,and its definition,main research contents,research approaches,and application areas were given.
在深入分析思维和智能研究理论的基础上,首次提出了思维计算的概念,并给出了定义。
5) Computational thinking
计算思维
1.
Computational thinking is becoming an important concept widely concerned over the field of computer science today.
计算思维是目前国际计算机界广为关注的一个重要概念。
2.
Computational thinking has drawn an increasing attention in computer science and technology.
探讨Wing的计算思维并分析它的局限性,根据计算机科学与技术中的理论、技术、工程、工具、服务和应用将Wing的计算思维推广到计算机思维,然后讨论计算思维(或计算机思维)的工程化并提出计算思维工程化的层次结构。
6) mind evolution
思维进化
1.
Ant colony algorithm based on mind evolution
基于思维进化的蚁群算法
2.
Duing the detector producting,a novel algorithm was also presented,involving clonal selection,negative selection and mind evolution.
在模型检测器的生成规则中首次提出并运用了n-r规则,在检测器的生成算法中将克隆选择、否定选择和思维进化相结合,提出了一种全新的算法。
补充资料：洪水调节计算(见水库调洪计算)
洪水调节计算(见水库调洪计算)
hongshui tiaojie洪水调节计算J ISUan 见水库调洪计算。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条