This paper presents a new human skin color model using BP networks.
提出了一种使用BP人工神经网络建立的人体肤色模型。
The other is based on BP networks, and we will discuss some experience.
另一种基于bp神经元网络模型，给出了一些在实际应用中的体会。
In the end, an example of Three Layer BP Networks fault diagnosis expert system of ignition is given.
最后，给出了一个基于三层BP网的点火系故障诊断专家系统的实例。
BP networks on fault diagnose of sensor used on generator speed control system of Marine is introduced.
介绍了BP网络用于船舶发电机转速控制系统传感器故障诊断的方法。
A new fire detection method, BP networks based image fire detection method, is presented in this paper.
提出了一种新型的火灾探测方法：基于BP神经网络的火灾图象探测方法。
Predicting precision of the networks was improved obviously compared with LR model and basic BP networks model.
与线性回归模型及原bp网络模型相比，预测精度有了明显的改善。
The digital image recognition mathematic model that based on the BP networks provided a reference to the process of digital image.
作者所建立的基于BP神经网络的“图象识别”数学模型对数字图象处理也具有一定的参考价值。
After studying tea quality characteristics, the tea quality accreditation algorithm has been put forward on the basis of BP networks.
经过对茶叶品质特征的研究，提出基于BP网络的茶叶品质鉴定模型。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
探讨了用于运动控制的单神经元pid控制器的结构与基于BP网络的模糊自适应PID控制。
The obtained novel fault dictionary can diagnose fault fast owing to the high parallel information processing capabilities of the BP networks.
BP网络高度并行的信息处理能力决定了这种新型故障字典的诊断速度非常快。
The simulation results show that the learning and generalization capability of the new models are much better than the conventional BP networks.
几个典型实验的结果表明，与传统BP网络模型相比，新网络模型在学习能力和泛化推广能力方面都有明显提高。
This article establish a forecast model of passenger volume in the public transportation by combine with gray system estimate and the BP networks model.
本文将BP网络模型与灰色系统预测方法相结合，建立了公交客流量预测模型。
Many single BP networks make up of predictive model paratactically, each predictive model can not be affected each other, so the error is not accumulate.
由多个单独BP网以并行方式构成预测模型，各子预测模型间无直接影响，因此没有误差积累。
Through comparing with BP networks performance, we found that RBF networks achieve better result in and are suitable for modeling a non-linear system such as EMG.
通过实验比较 ，径向基函数网络较反向传播算法网络更适合于肌电信号这类非线性系统建模。
Heat transfer mathematical model and BP networks prediction model during solidification of continuous casting slab are established and verified with the measured data.
建立了连铸坯凝固过程传热数学模型与BP网络预测模型，并根据实测数据对两种模型分别进行了验证。
Put forward a new approach which describe the relationship of resistance-temperature conversion for common thermo-resistance in terms of BP networks has the characteristic of non-linear.
利用BP网络具有任意逼近非线性函数和内插值特性，提出一种实现常用热电阻阻值-温度变换的新方法。
Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks.
通过实验研究，体现了RBF神经网络作为一种局部全连接网络，训练速度快，克服了BP网络的局部极小点问题。
As the recursive error is accumulated largely when the single BP network is regarded as predictive model, we propose the paratactic predictive control algorithm based on multi-BP networks.
针对单个BP神经网络作为预测模型时，递推多步预测误差积累大的缺点，本文提出多BP神经网络并行预测控制算法。
Vibration amplitude of steam turbine is affected by operation parameters and random factors, the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
With the way of binarization by globe threshold, the extracting mathod of "effective-rows" feature of handwriting numerals and recognition mathod of two parallel BP networks, good result is acquired.
在图象处理算法中，应用图象全局二值化方法、字符“有效行”特征的提取和双BP神经网络，对手写体字符的识别取得了良好的效果。
To eliminate the enterprises' high inventory and improve the customers' service, this paper discussed the new idea and method that manage the inventory by using the BP neural networks technology.
探讨了通过采用BP神经网络技术对库存进行管理的新的理念和方法，以达到消除企业的高库存现象和提高顾客服务水平的目的。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
BP neural networks and GA were applied to the optimal design of mechanical structure.
将BP神经网络和遗传算法相结合运用于快速设计的结构优化问题。
Finally, the features are preprocessed, then classified by integrating BP neural networks.
特征量被预处理后，输入到集成bP神经网络分类器中分类。
Using BP neural networks, the fitness of GA was calculated, on the basis of which the mechanical structure was optimized.
用神经网络计算遗传算法的适应度，对结构进行优化。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
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