[A fetal electrocardiogram signal extraction method based on long short term memory network optimized by genetic algorithm]. [PDF]
Qian L, Wang W, Chen G, Yu M.
europepmc +1 more source
Precipitation Forecasting Model Based on Neural Network and Genetic Algorithms
针对目前BP神经网络在实际应用中,网络结构难以确定以及网络极易陷入局部解问题,用遗传算法优化神经网络的连接权和网络结构,在遗传进化过程中采取保留最佳个体的方法,建立基于遗传算法的BP网络模型.同时通过实例说明该模型在降水预测中的应用,计算结果表明该方法的预测精度较高. For overcoming difficulties in application of the method of BP neural network, this paper proposed to optimize the ...
农吉夫
core
[Risk Identification and Standardized Prevention and Control Strategies for Outsourced Laboratory Testing in Healthcare Institutions]. [PDF]
Ran L, Zeng W, Liu D, Guo X.
europepmc +1 more source
Using an improved genetic algorithm to solve global optimization problem
寻找函数的全局最优解是一个很常见的工程应用问题,简单遗传算法是解决此类问题的有力工具。但由于简单遗传算法具有中全局收敛能力差和收敛速度慢的缺点。本文基于对遗传算子的优化,提出一种混合分类选择和定向变异的改进遗传算法来解决全局寻优问题。经仿真结果表明 ...
井元伟, 马佳, 石刚, 徐皑冬
core
[Construction of a Multi-Factor Quantitative Scoring Model for Chromosome Karyotype Analysis]. [PDF]
Lai Y, Su Q, Wang H, Wu W, He G, Li T.
europepmc +1 more source
[Application of polygenic risk score-based comprehensive breast cancer risk assessment in preimplantation embryo selection for a <i>BRCA1</i> mutation carrier]. [PDF]
Ye Y +9 more
europepmc +1 more source
Immune-genetic algorithm and its application to introduction planning of new products
提出一种新的求解复杂约束优化问题的免疫遗传算法 .算法首先产生大量抗原来训练抗体 ,从而建立起一个具有自体和非自体识别能力的免疫系统 .将该免疫系统嵌入到遗传算法中 ,即可在遗传过程中不经解码就能识别非法或不可行的染色体 .算法有效地改进了遗传算法求解复杂约束优化问题的性能 .算法用于求解用半无限规划模型描述的新产品投入计划问题 ,获得了满意的结果
于海斌, 汪定伟
core
[Chronic pain: from central sensitization to network homeostasis imbalance]. [PDF]
Ruan C +7 more
europepmc +1 more source
[Interdisciplinary Research on Artificial Intelligence and Longevity Medicine: Global Landscape, Collaboration Networks, and Frontier Trends (2010-2025)]. [PDF]
Huang X +6 more
europepmc +1 more source
RATIONAL GENETIC ALGORITHM AND ITS APPLICATION TO MOTION COOPERATION OF MULTIPLE MOBILE ROBOTS
面对传统遗传算法在解决一些复杂问题时所存在的收敛慢或早熟等困难 ,基于仿人理性决策原则 ,提出一种具有更丰富进化含义的进化算法——理性遗传算法 .其通过遗传信息的反馈或理性规则的建立来指导遗传操作的进行 ,从而将种群内部知识与经验的继承和学习更有效地结合在遗传算法之中 .相对于传统遗传算法 ,较好地解决了多机器人确知环境下协调运动规划问题 .理论分析和仿真实验结果都是令人鼓舞的
谈大龙, 王越超, 景兴建
core

