Correctness and validity of the neural network object forecast algorithm and immune algorithm with evaluated antigen are tested by the simulation of varies examples.
通过对不同情况算例的仿真，验证了神经网络目标预测算法和基于抗原进化免疫算法的正确性和有效性。
Choosing a training method is very important when using neural network to obtain the model and the inverse model of the nonlinear object.
在使用神经网络完成非线性对象的模型和逆模型时，选择的训练方法很重要。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
本文设计了基于神经网络技术的预测控制系统，包括控制对象模型的设计、预测模型的设计和控制器的设计。
Recognition of three dimensional object is always an interesting subject. Neural network model with its associative capability is an important approach to solving such complex problem.
三维物体的识别是有重要应用意义的课题，神经网络模型是解决该复杂问题的一个途径。
For the characteristics of the diagnosis object, the knowledge express method based on production rule and neural network are adopted as the knowledge express method.
针对诊断对象特点，知识表示采用基于产生式规则和基于神经网络两种知识表示方法。
This paper proposes an internal model control system based on recurrent neural network, and considers jigger layer loose condition as research object.
该文提出一种基于对角递归神经网络的内模控制系统，并以跳汰生产过程床层松散状况为对象进行了研究。
It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.
它通过构造伪输出辨识被控对象参数，引进反馈误差，实现对解耦神经网络的在线训练。
In view of the shortage of current modeling tools for neural network, we put forward object oriented analysis of the network.
针对目前神经网络建模工具的不足，进行了网络的面向对象分析。
This paper USES robot as researched object that is of strong coupling, nonlinear and multi-variable characters. A control system is proposed which consists of a fuzzy neural network controller.
本文以机器人为研究对象，针对其强耦合、非线性、多变量等特点，提出了一种模糊神经网络控制器组成的控制系统。
Effectiveness is introduced as a function object. By nonlinear map ability of neural network, all state information is used to build a logical decision standard.
引入效能概念作为决策信息融合的性能指标，借助神经网络的非线性映射能力，充分利用全状态信息离线建立了合理的决策准则。
Moreover, by extracting shape invariant moment characteristics of object region, this paper also presents a BP neural network based object recognition method.
对分割后的目标，提取不变矩特征，然后利用人工神经网络实现了运动目标的快速识别。
Due to the temperature object is delay, the control result is not very satisfactory for the control results of traditional PID, fuzzy control, or neural network control.
由于该温度对象具有滞后特性，采用传统的PID控制、模糊控制或神经网络控制等单一的控制策略效果并不十分理想。
In order to overcome the large delay and the uncertainty of the main-stream temperature object in fossil-fired power station, a control system based on neural network is proposed.
针对火电厂主汽温被控对象的大迟延、模型不确定性，设计了基于神经网络的主汽温控制系统。
Nowadays, the BP neural network applies universally, it has the basic character of the neural network, and therefore this article takes the BP neural network as the research object.
在当今社会，BP神经网络是现实应用中最为广泛的，它具有神经网络的基本特征，所以，本文以BP神经网络作为研究对象。
But for a soft object like a sponge, the neural network realized it would be easier to place one gripping finger in the middle and one around the edge, and then squeeze.
但对于柔软物品(如海绵)而言，神经网络意识到将一根手指放在中间、另一根放在边缘会更轻松一些。
The experiment shows that with merging the Object Oriented concept and symbol logic, the Intelligent Neural Network system Theory provides a way to build a big, complex NN system.
实验表明，智能神经网络系统组成原理将面向对象、符号逻辑融于神经网络中，提供了构造功能完备的智能系统的途径。
The object of this research is to set up the neural network expert system of judging the abnormal state in acquiring knowledge , so to make it have the ability of self-learning on-line.
本课题旨在建立神经网络高炉异常炉况判断专家系统，并解决传统专家系统在知识获取方面的“瓶颈”问题，使其具有在线学习能力。
The object of this research is to set up the neural network expert system of judging the abnormal state in acquiring knowledge , so to make it have the ability of self-learning on-line.
本课题旨在建立神经网络高炉异常炉况判断专家系统，并解决传统专家系统在知识获取方面的“瓶颈”问题，使其具有在线学习能力。
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