Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
It has not only the learning ability and the adaptability, but also the self-adjusting factor function.
该控制器不仅具有自学习自适应能力，而且具有自调整比例因子功能。
Objective:To study the relationship of cognitive function and self-concept in children with learning disability(LD).
目的：探讨学习困难儿童认知功能与自我意识之间的关系。
The system's conformation, function, self-learning ability, setting up of a knowledge bank and the formation of an inference mechanism are being explained.
介绍了该系统的结构、功能、自学习能力和知识库的建立与推理机的实现。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
Self-control learning function represent:consciousness learning concentration learning, control emotion it interferelearning, remove irrespective disturb with goal.
学习自我控制表现为：自觉学习专心学习，控制干扰学习的情绪；排除与目标无关的干扰。
The system would reduce the malfunction rate with high sensitivity. Also the neural network has function of self-learning, which would raise the degree of intelligence of the system.
该系统依靠模糊控制理论提高了灵敏度，减少了误报率，并结合神经网络具有自学习功能的特点，提高了整个系统的智能化程度。
For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.
针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。
The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.
试验表明，只要样本空间映射合理，这种自组织无监督的神经网络具有很好的自学习功能，在工程中具有广泛的应用前景。
The result of experience has proved the method using PSO to optimize the evaluation function is effectively to enhance the strength of the Chinese-chess program by self-learning.
实验证明，利用粒子群算法对评估函数进行参数优化是可行的，通过大量的训练后这种算法不但有效地提高了象棋程序的水平而且使象棋具有了自学习的能力。
The result of experience has proved the method using PSO to optimize the evaluation function is effectively to enhance the strength of the Chinese-chess program by self-learning.
实验证明，利用粒子群算法对评估函数进行参数优化是可行的，通过大量的训练后这种算法不但有效地提高了象棋程序的水平而且使象棋具有了自学习的能力。
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