Use fuzziness measures as objective function of neural network can depict uncertainty of pixels' category validly so as to optimize image classification by minimizing the objective function.
使用模糊测度作为神经网络的目标函数可以有效地描述像素类别的不确定性，从而通过使其最小实现图像分类优化。
Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。
The results show that a relatively satisfied classification result can be achieved by using the classification method combined with BP neural network in land cover classification.
结果表明地理辅助数据参与的BP神经网络用于土地覆盖分类研究可以获得相对较好的分类结果。
A model of algorithm has been proposed for composite neural network and the classification results of high precision are obtained through a full adder (FA) fostered by the model.
提出了一种复合神经网络的算法模型，用该模型训练全加器(FA)获得了高精度分类结果。
The self-organizing neural network classifier and particle swarm optimization-support vector machine were designed by author in this paper to use as classification method of motor imagery EEG.
其中自组织神经网络分类器和粒子群优化支持向量机是本文新设计的两种运动想象EEG分类方法。
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
In order to solve the problem of grading the timber, the authors have put forward a kind of classification method by utilizing neural network and wood surface color characteristics.
为了解决木材的分级问题，提出了利用神经网络和木材表面颜色特征对木材进行分级的方法。
The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network.
利用BP网的分类性可以将采集到的清晰数据集广义地分成模糊类。
The results show that the neural network is more appropriate for the classification of colon status. The new algorithm in this paper has been tested by a number of colonoscopic images.
在将结肠镜图像分类为正常和异常图像时，选用了误差反传训练的多层感知器，结果显示这种网络神经元适合结肠镜图像分类。
The sample classification of abdomen MRI is carried out by the combining method of SOFM Neural network and doctors diagnosis.
将SOFM神经网络与医师诊断相结合对腹部MRI进行样本分类，并利用判别分析方法对肝硬化进行图像识别。
In the end, we initially achieved the classification for Fusarium by optimizing BP neural network training targets, network structure and transfer function.
最后，对BP神经网络的训练目标、网络结构和传递函数等参数进行了优化，初步实现对镰刀菌的分类。
In the end, we initially achieved the classification for Fusarium by optimizing BP neural network training targets, network structure and transfer function.
最后，对BP神经网络的训练目标、网络结构和传递函数等参数进行了优化，初步实现对镰刀菌的分类。
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