通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
Carries on the training through the use reasonable study algorithm, the neural network has to the thing and the environment very strong from the study, auto-adapted and from the organization ability.
模糊神经网络系统可以根据系统输入输出信号，建立系统的输入输出关系，并对环境的变化具有较强的自适应学习能力。
Fuzzy Neural Network System (FNNS) can construct input? Output relationship by means of input and output signal and FNNS has special characteristics of adaptive learn while environment is changing.
人工神经网络日渐成为一种重要的分类工具，其最大益处就在于它善于对环境的自适应学习，并且具有并行处理泛化能力。
The manual neural network has become more and more important as a classifier. Learning from the environment adaptively and generalizing were the most advantages of neural network.
针对编队问题的具体特性，提出了基于环境的记忆学习方法，使多机器人编队系统具有较强的环境自适应能力。
For the peculiarity of team formation, an environment-based learning method is proposed to enable the system of robot team formation to have stronger adaptability to the environment.
提出了一种利用Q-学习解决动态单机调度环境下的自适应调度规则选择的方法。
Q-learning was applied to resolution of the adaptive dispatching rule selection problem under dynamic single-machine scheduling environment.
本文结合机器人路径规划问题介绍了增强式学习方法，实现了动态环境中基于增强式学习的自适应路径规划。
To solve the robots path planning problem in dynamic environment, this paper applies adaptive learning to path planning based on reinforcement learning.
通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
After training with a proper learning algorithm, NN has a capability of self-learning, adapting and organizing.
通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
After training with a proper learning algorithm, NN has a capability of self-learning, adapting and organizing.
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