Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.
用神经网络构造机器人周围环境及障碍物的描述模型，用免疫进化算法寻找最佳路径。
To solve this problem, this paper proposes a model which is based on the immune network.
针对该问题提出一种基于人工免疫网络的入侵检测模型。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
The Shape-Space model of AIS and the Artificial Immune Network (AIN) model based on binary-coding are detailed subsequently.
进而详细介绍了人工免疫系统的形态空间模型和人工免疫网络的二进制模型。
To effectively monitor the concentration of ozone in the air, and streamline its operating process, a novel model based dynamic immune network for monitoring ozone concentration is presented.
为了有效监测空气中臭氧的浓度，简化其操作过程，提出了一种基于动态免疫网络原理的臭氧浓度监测模型。
To improve the network environment adaptation ability of intrusion detection, a distributed intrusion detection model based on multi-level immune detector set is presented.
为了提高入侵检测系统的网络环境适应能力，提出了一种基于多级免疫检测器集的分布式入侵检测模型。
This paper propose a dynamic network security model with immune character. This model bases on the traditional static defense model.
本文在传统的静态防御模型上提出了具有免疫特性的动态的网络安全模型。
Results show that the immune algorithm neural network model can predict variety rule of oil gas better and has higher accuracy than that of neural network.
结果表明，该智能预报模型能够较好地识别油气扩散的变化规律，预报精度明显高于神经网络模型。
In the fourth chapter, there are a new model of artificial immune system for network security and some analysis about the model.
第四章提出了人工免疫网络安全模型，并对其进行一定的理论分析。
In the fourth chapter, there are a new model of artificial immune system for network security and some analysis about the model.
第四章提出了人工免疫网络安全模型，并对其进行一定的理论分析。
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