给出了不需引入人工变量的线性规划问题的求解算法。
Then a new algorithm for linear programing is described and proved without the use of any artificial variable.
本文提出一种不用人工变量，适用于求解一般线性规划问题的单纯形法。
This paper presents a simplex method without using the artificial variables. It is suited to solve general linear programming problem.
但由于在转化成线性规划的过程中要引入人工变量，从而使求解过程变得复杂且不易操作。
However, we need to introduce artificial variable during transforming, which make the procedure of solving complex and difficult to operation.
它不必引入人工变量而可在一种表格之下直接应用旋转运算而获得，之后就在同一张表格下完全和单纯形法一样求最优解。
It can be obtained by applying directly twist operation under a table and need not input artificial variable. After this, we may find optimal solution under the table as the same as simplex method.
所运用的线性不等式组的一种旋转算法避免了通常处理二次规划问题所需的松弛变量、剩余变量和人工变量，操作简便、计算效率高。
The algorithm solves the quadric programming problem without adding slack, remaining and artificial variables while its efficiency is very high and it operates very easily.
如果没有为调用活动或人工任务活动提供任何输出，则不会更新流程变量。
If no output is provided for an invoke or human task activity, the process variable is not updated.
上述模块显示了如何使用表达式和多个输入值添加人员解析到您的人工任务，使用一个含有数组输入的业务对象变量。
The above module showed how to add people resolution to your human task using expressions and multiple input values, which USES a business object variable with array inputs.
内联人工任务可以访问流程上下文，因此它们也可以访问流程上下文变量。
Inline human tasks have access to the process context and thus they can also access process context variables.
因为内联人工任务可以访问流程上下文，它们可以访问流程上下文变量。
Because inline human tasks have access to the process context, they can access process context variables.
基于人工任务或业务流程上下文的变量定义人员查询。
Define staff queries based on variables from the human task or business process context.
在对业务流程建模时，请确保在调用人工任务之前初始化流程变量。
When modeling the business process, make sure that the variable initialization happens prior to the human task invocation.
对于能够访问业务流程上下文的内联人工任务，还有附加的上下文变量可用。
For inline human tasks that have access to the business process context, additional context variables are available.
内联人工任务另外还可以访问周围的业务流程上下文信息，例如流程变量、流程自定义属性等等。
Inline human tasks additionally have access to the surrounding business process context information like process variables, process custom properties, and so on.
此变量对遵循流程模型中具有该名称的活动的人工任务可用。
It is available for human tasks following the activity with this name in the process model.
此变量对参与人工任务和纯人工任务可用。
This variable is available for participating and purely human tasks.
由于这些变量具有非线性时间序列数据，用人工神经网络(ANN)将使用反向传播算法作为学习算法。
Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.
依据BP神经网络系统能够利用人工智能的方法，准确分析多变量非线性系统的特性，采用多层向前BP神经网络系统建立起了橡胶老化预报模型。
Based on characteristics of BP neural network which can precisely analyze multi-variable nonlinear systems using artificial intelligence, in this paper, we proposed model for predicting rubber aging.
精油组分的多变量分析得到汶川县的人工林与其它居群的相似性最小。
Multivariate analysis of the component data indicate that population Wenchuan is the most distinct.
本文提出了利用人工神经网络进行地质数据多变量分析的方法。
This paper proposes to use artificial neural network on multivariate analysis of geological data.
结果表明基于分解协调的人工鱼群算法收敛性好，提高了计算速率，较好的解决了作物优化配水大系统中常见的变量维数高、约束方程多等问题；
In the result, the artificial fish school algorithm based on decomposition and coordination method shows its advantages on computing speed, convergence and solving dimension difficulty.
由于人工神经网络好的非线性的多变量校正特点，预测结果是准确的。
Owing to good nonlinear multivariate calibration nature of ANN, the predicted results was reliable.
由于人工神经网络好的非线性的多变量校正特点，预测结果是准确的。
Owing to good nonlinear multivariate calibration nature of ANN, the predicted results was reliable.
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