- 更多网络例句与测试函数相关的网络例句 [注：此内容来源于网络，仅供参考]
-
The numerical experiment results by researching the optimal problem of standard test functions show that the election-survey algorithm can constringe rapidly to global optimal solution and has better stability.
通过对标准测试函数优化的数值实验结果表明，竞选算法可快速搜索到函数的全局最优解，并具有较好的稳定性。
-
The test results based on three benchmark functions show that the improved PSO algorithm has a good performance on global convergency and convergence precision.
基于3个基准测试函数的测试结果显示改进粒子群优化算法具有较好的全局收敛性和收敛精度。
-
Finally, it analyses the time complexity of the algorithm and researches how it is influenced by culture operator.3、The paper presents the evaluation standard of the GA's application capability. Basing on characters such as continuity, multi-peak, vibration, randomicity as well as large-scale, five functions are selected to test search ability and robustcity of co-evolution algorithm. Finally, it analyses the simulation result and researches the influence of algorithm brought by culture operators.4、Basing on the concept of collection overcast, it researches the task distribution issue and constitutes delaminated math model on task distribution issue. It puts out the co-evolution algorithm of subtask's decomposing. The experiment compare IGA、SGA to CN and validates the efficiency of co-evolution algorithm on the NP completeness issue.5、Being aim at the optimization issue of load of antenna near ground, it combines many GA strategies and puts forward strategic meme. And it puts out co-evolution algorithm of load of antenna design. And it emulates the optimization design of load of antenna near ground. Finally, it valuates the co-evolution algorithm's efficiency on the continuum search issues of multi-variable and multi-peak value.6、Being aiming at the knowledge of image model matching, it adopts single meme and real code. It puts out fast co-evolution matching algorithm strategy. Basing on NPROD resemble measurement, I emulate the indiscrimination model matching and discrimination model matching. Finally, it valuates the co-evolution algorithm's efficiency on the real code and real time search issue.
分析了算法的时间复杂度，研究了文化算子对算法时间复杂度的影响。3、提出了GA的应用性能评价标准，从连续性、多峰性、随机性、振荡性、广域性多个角度出发选择五个测试函数，对共同进化算法的搜索性能和鲁棒性作了函数优化的性能测试，分析了仿真结果，研究了文化算子对算法的影响。4、基于集覆盖的概念，研究了MAS中的任务分配问题，建立了任务分配问题的分层数学模型，给出了子任务分解共同进化算法，实验比较了IGA、SGA、CN，验证了共同进化算法对NP完全问题的有效性。5、针对近地天线加载优化设计问题，结合多种改进GA策略，提出了策略型拟子，给出天线加载设计的共同进化算法，对有耗半空间对称偶极子天线加载优化设计作了仿真实验，验证了共同进化算法对多变量多峰连续搜索问题上的有效性。6、针对图像模板匹配问题的领域知识，采用单类拟子和实数编码，给出快速共同进化匹配算法策略，基于NPROD相似度测度，仿真试验了无差别和有差别模板匹配，验证了共同进化算法对实数编码和实时性搜索问题上的有效性。
-
By using testing functions to make comparative research on the precision of approximate models which were built by RBF under the condition of different sample amounts and different kernel function types, a conclusion was drawn: the model quality built by Reciprocal Multiquadric RBF as kernel function was highest when the sample amout was big, and the model quality built by Gaussian RBF as kernel function was highest when the sample amount was small.
运用测试函数对在不同样本数量与不同核函数形式下所建立的近似模型的精度进行对比研究，得出逆多二次函数与高斯函数作为核函数分别在大样本和小样本情况下精度最高的结论，并验证了径向基函数近似模型方法能够兼顾效率与精度。
-
One method is based on the expansion of zero order Bessel series, the other on the expansion of Lengendre series.
通过用测试函数进行测试和对实验数据进行变换都得到了较好的结果。
-
The DHSPSO was applied to the high-dimensional optimization problems and simulation results showed that DHSPSO manifested better optimization results such as greater optimization speed, accuracy, and successfulness ratio of optimization.
以多个标准测试函数优化进行仿真测试，结果表明，DHSPSO算法在进行高维优化问题时，在寻优速度、精度和成功率等方面均显示出良好的优化效果。
-
The five methods are tested on a 2-D test function ,a straight airfoil and a sweepback airfoil. For the straight airfoil,the paper constructs its approximation models of structure disciplinary, aerodynamic disciplinary and stealth disciplinary.
用这五种方法分别构造二维测试函数的近似模型，直机翼结构学科、气动学科和隐身学科的近似模型和后掠机翼结构学科、气动学科的近似模型，并总结这五种方法对二维测试函数、直机翼和后掠机翼各学科近似的适用性。
-
The image pairs of filter functions, and there is a corresponding test function.
详细说明：对图像进行双滤波的函数，并有相应的测试函数。
-
Finally,test this algorithm with test function,contrast and analysis the result with the ...
用测试函数对算法进行测试，并将结果与自适应遗传算法进行对比和分析。
-
Moreover, the proposed VIGA was applied to optimize two typical testing functions with multimodal and multivariate. From the comparison of different optimized solutions by conventional GA, simulated annealing algorithm with the analytical for the testing functions, the feasibility and validity of the VIGA was verified.
以2个典型测试函数为例，分别进行了多峰值、多变量测试函数寻优测试，通过将VIGA寻优结果与测试函数解析解、传统遗传算法(genetic algorithm，GA)以及模拟退火优化(simulated annealing algorithm，SA)策略所得优化结果进行对比分析，VIGA的可行性和有效性得到证实。
- 更多网络解释与测试函数相关的网络解释 [注：此内容来源于网络，仅供参考]
-
external function store,EFS：外函数储存
外函数引用 external function reference | 外函数储存 external function store,EFS | 外功能测试 external function testing
-
Fixture：装置
这个数组应包含测试函数、测试装置(fixture)或同时包含两者. 使用哪一个依测试的复杂程度而定. 在大多数情况下,简单的测试函数对测试代码来说已经足够了. 只有在需要更改超时值、执行设置操作或在测试后要拆除数据时,
-
frequency response test：频率回应测试
"频率回应函数","frequency response function" | "频率回应测试","frequency response test" | "频率响应","frequency response,FR"
-
frequency response test：频率响应测试
频率响应函数 frequency response function | 频率响应测试 frequency response test | 频率响应 frequency response,FR
-
in-house test：实地测试
In-game UI 游戏中界面 | in-house test 实地测试 | input function 输入函数
-
test function：测试函数
终止条件termination conditions | 测试函数test function | 旅行商问题Traveling Salesman Problem,TSP
-
test function：测试功能,测试函数
test frequency 试验频率 | test function 测试功能,测试函数 | test gage requirement 试验仪表要求
-
test function：测试函数,测试功能
空白测试 test for blanks | 测试函数,测试功能 test function | 测试产生 test generation
-
Tester：测试器
排序函数(BubbleSort)中调用了对象比较函数(ObjCompare),假定当前测试对象是BubbleSort函数,我们编写测试用例如下:检视器(Inspector)是4GWM推荐的测试辅助工具,它介于测试器(Tester)与调试器(Debugger)之间,
-
wilkinson：函数--生成Wilkinson特征值测试阵
2.1.22 toeplitz函数--生成托普利兹矩阵 | 2.1.23 wilkinson函数--生成Wilkinson特征值测试阵 | 2.2.3 dot函数--向量的点积