The fusion architecture of the modified fuzzy counter propagation neural network is workable.
改进的模糊对向传播网络融合结构是可行的。
Medical Diagnosis; Machine Learning; Back-Propagation Neural Network; Adaptive Neural Fuzzy Inference System.
医学诊断；机器学习；倒传递网路；适应性类神经模糊推论系统。
A classical Back Propagation Neural Network (BP NN) has been developed to solve the same problem for comparison.
并应用传统的BP神经网络解决同样的问题以进行比较。
A simulation program for back-propagation neural network implemented with Cprogramming language under Windows system is presented.
本文介绍一个在窗口系统下用C语言实现的后向传播神经网络(BP网络)模拟软件。
On the basis of molecular subgraph coding method, a back propagation neural network was trained on the molecular subgraph code to predict Gibbs energy of alkanes.
采用分子子图编码法将烷烃的分子子图码作为人工神经网络的输入参数 ，对烷烃的吉布斯自由能进行预测 。
The stress field around the crack tip is simulated via the constructed Back-Propagation Neural Network (BPNN) whereby achieving the approximation of the stress field around the crack tip.
通过构造反向传播神经网络，对裂纹尖端的应力场进行模拟，进而实现对裂纹尖端应力场函数的逼近。
Combined Genetic Algorithms (ga) and back-propagation neural network (BP), an optimized GA-BP model was established to predict phosphorus content. Some data were chosen to train the network model.
结合遗传算法(GA)和误差反馈型神经网络(BP)，建立了优化的GA - BP神经网络预测模型，预测转炉炼钢过程钢液终点磷含量。
A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点，提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
The I/O relationship of back propagation algorithm (BP algorithm) for Feed-Forward Multi-layered Neural Network is a mapping relationship, which can resolve the above nonlinear problem.
多层前向神经网络的误差逆传播算法（简称BP算法）的输入输出关系实际上是一种映射关系，适于解决上述非线性映射问题。
With the implicit function relation, BP (Back Propagation) neural network can easily realize the mapping between input data and output data.
通过找出其隐式函数关系，误差反向传播神经网络可以实现输入和输出间的任意映射。
Data of ultimate shear stress of hyper concentration flow are trained several times by Back Propagation (BP) neural network method.
应用误差逆传播（BP）神经网络方法，对高含沙流体极限剪应力进行了多次训练。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。
An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper.
对非线性系统神经网络控制器提出了一种改进的误差反向传播算法。
The following paper constructs a artificial neural network - named water quantity predicting model, using automatically adapting and step-self-changing back propagation method(ABPM).
采用自适应变步长的后向传播算法（ABPM）构建了一个人工神经网络用水量预测模型。
It is a useful try to construct the radio wave propagation predication model by the neural network.
本文的工作是神经网络方法在建立电波大气传输效应预报模型应用中的有益尝试。
To enhance the validity of evaluation, based on ANN(artificial neural network), a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.
为了提高评价的准确性，采用人工神经网络技术，建立了基于BP神经网络的道路交通安全综合评价模型。
This research built a flight phase safety risk assessment model basing on Back Propagation(BP) neural network.
基于反向传播（BP）神经网络，建立了民用航空航段安全风险评估模型。
This article introduces a predictive model of Artificial Neural network of red tide biology density and environment factors by use of the back propagation (BP) network.
本文利用人工神经网络中的BP网络，建立赤潮生物密度与环境因子的人工神经网络的预报模型。
Numerical results show that the recurrent back propagation control neural network controller has good effectiveness for various kinds of reference speeds of the ultrasonic motor.
模拟实验结果表明，递归反向传播控制神经网络对多种形式的超声马达参考速度都有很好的控制效果。
This paper gave a brief review on neural nets and neural computers, neuron models, layered network structures, error back-propagation algorithm and its application to geophysical inversion.
本文简要介绍神经网络与神经计算机，神经元模型，层状网络结构，误差逆传播算法及其在地球物理反演中的应用。
High nonlinear problem which is often met in Chemical engineering, taking the study of tray leakage mode as example, is treated by adopted BP (back propagation) algorithm in artificial neural network.
针对化工中经常遇到的高度非线性问题，以塔板研究中的泄漏模型为例，采用人工神经网络中的BP(反向传播)算法进行处理。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
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