1) optimal judgment algorithm
评优算法
1.
Firstly,we take a back tracking mechanism to find possible results of the word segmentation to make the candidates,then we propose a optimal judgment algorithm according to the characteristic of the Answering texts,finally This algorithm is used to choose the most suitable one from all candidates and eliminate the ambiguity of word.
针对网络答疑的特点,该文提出了一种汉语歧义消除算法,采用回溯机制及歧义消除评优算法相结合的方法消除汉语切分歧义。
2) optimal evaluation method
优度评价算法
1.
Improved optimal evaluation method and its application in scheme evaluation
改进优度评价算法及其在方案优选中的应用
3) approach of evaluation
评优方法
4) optimal algorithm
优化算法
1.
Summarize on Petri Net and optimal algorithm integrated for scheduling of FMS;
Petri网与优化算法结合求解FMS调度研究综述
2.
Supply chain optimal algorithm based on manufacturing resource limits;
基于制造资源约束的供应链优化算法
3.
Improved optimal algorithm and simulation of temperature distribution for reheating furnace;
步进式加热炉炉温优化算法的改进与计算机仿真
5) optimization algorithm
优化算法
1.
The simulated annealing and chaotic particle swarm optimization algorithm;
混沌模拟退火粒子群优化算法
2.
Optimization Algorithm of Bus Rapid Transit Route Planning;
快速公交(BRT)线路布设优化算法研究
3.
The improvement and simplification of optimization algorithm in automobile dynamic processing about weighing signal;
优化算法在汽车动态称重信号处理中的改进和简化
6) optimization method
优化算法
1.
Combination with the process prior knowledge to decide the dynamic equation of the decision variables,at the same time fusion some characteristics of the intelligent optimization method,the whole flow optimization based on prior knowledge was put forward.
结合过程的先验知识来决定决策变量的动力学方程,同时融合智能优化算法的某些特性,提出了基于先验知识的全流程优化策略。
2.
A new optimization method was proposed,in which linear response surface approximation and orthogonal experimental design methods were first used to choose the parameters,then the Kriging surrogate model was constructed to substitute computer simulation,and two optimization methods were combined to optimize occupant restraint system parameters.
然后构造Kriging代理模型来代替计算机仿真,并结合两种不同的优化算法来进行乘员约束系统参数的优化设计。
3.
A design method of a two-section ideal transmission line transformer for simultaneously matching two operating frequencies for any transforming ratio,and a three-section ideal transmission line transformer for simultaneously matching three operating frequencies for any transforming ratio is proposed,based on optimization method.
本文采用了一种基于优化算法实现的基于优化算法实现的两节双频及三节三频同步匹配变换器TLT设计。
补充资料:BP算法
分子式:
CAS号:
性质:又称逆推学习算法,简称BP算法,是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统),它自动地将实际输出值和期望值进行比较,得到误差信号,再根据误差信号从后(输出层)向前(输入层)逐层反传,调节各神经层神经元之间的连接权重,直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小,但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
CAS号:
性质:又称逆推学习算法,简称BP算法,是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统),它自动地将实际输出值和期望值进行比较,得到误差信号,再根据误差信号从后(输出层)向前(输入层)逐层反传,调节各神经层神经元之间的连接权重,直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小,但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
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参考词条