Activity form using input and output criteria, but no gateways, is more suitable for simplifying visualization of the process model by hiding the branching logic in the input and output criteria.
活动形式使用输入和输出条件，但不使用网关。它将分支逻辑隐藏在输入和输出条件中，因而更适于简化流程模型的可视化形式。
The definitions of the input and output criteria are part of the activity definition; they cannot be changed in any process model that reuses this task.
输入和输出条件的定义是活动定义的一部分，它们不能在任何重用这一任务的流程模型中被更改。
A process model that makes use of several input and output criteria in the activities, but does not use gateways is denoted as being in activity form.
如果流程模型在活动中使用多个输入和输出条件，但并不使用网关，则表明它采用的是活动形式。
In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.
该模型利用过程神经元网络所具有的对时间变量的非线性映射能力，实现系统的输入、输出之间的连续映射关系。
For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
针对实际系统的输入输出是与时间有关的连续过程，提出了一类用于连续过程逼近的过程神经元网络模型。
In order to model and simulate systems with time-varying functions or processes, a feedback process neural network model with time-varying input and output functions is proposed.
针对输入和输出均为时变函数或过程的实际系统建模和仿真问题，提出一种输入和输出均为时变函数的反馈过程神经网络模型。
This paper discusses the model of estimation of the Human Capital′s Value, using the method of input-output model to describe the process of the yield of the Human Capital.
本文就人力资本价值计量问题引出一种新型投入产出模型——描述人力资本价值生产过程的投入产出模型。
It comprise input line and output line and transfer line which connect input and output. This model simulate those likely faults which emerge in transfer process through connection of lines.
该模型包括输入输出以及连接两者的传输线，通过线与线之间的接合模拟了在数据传输过程中可能出现的故障。
The forming process is simplified to a discrete single input single output system and described by a non-parametric model.
将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。
The forming process is simplified to a discrete single input single output system and described by a non-parametric model.
将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。
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