Multilayer feedforward neural network is the most popular one in practice.
多层前馈神经网络是在实践中应用最为广泛的一种神经网络。
In this paper, a novel fast learning algorithm for multilayered feedforward neural network is introduced.
本文提出一种前馈神经网络的快速学习算法。
Automated identification of tomato maturation using multilayer feedforward neural network with GA can be realized.
采用遗传算法训练的多层前馈神经网络实现番茄成熟度的自动判别。
In this paper, the back propagation algorithm of a multilayer feedforward neural network was defined as BP algorithm?
利用前向多层神经网络的反向传播算法，即BP算法。
In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
This paper presents a modelling method of the circulating fluidized bed combustion (CFBC) boiler using a feedforward neural network.
采用多层前向型神经网络，对燃煤循环流化床锅炉模型化进行了研究。
This paper compresses remote sensing images with multilayer feedforward neural network and gives the compression algorithm in detail.
本文采用多层前馈神经网络对遥感图像进行压缩，给出了具体的压缩算法。
Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.
然后介绍了如何使用模糊聚类算法和等价的前馈神经网络从样本数据中辨识离散的TS模型。
Presents a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
采用平衡的倒摆小车所记录下来的数据，经处理后用有师学习方法来训练前馈神经网络。
A modified neural network structure which is composed of a linear network and a multilayered feedforward neural network (MFNN) is presented.
本文提出一种改进的神经网络结构，它由线性网络和多层前向网络两部分组成。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。
In this paper, the principle and application of semilinear feedforward neural network are described, some experimental results are also presented.
本文结合岩体质量的模式识别，阐述了半线性前馈神经网络的基本原理和应用，并给出了其部分试验结果。
The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed.
介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计， 分析了含有不同隐节点数的前馈网络的精度；
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
A feedforward neural network was used to predict functional relationship of temperature with steam pressure and heat of vaporization of the pure material.
用前向神经网络，对纯物质的蒸气压和汽化热与温度的函数关系进行预测。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
An artificial neural network method is proposed for hydrological forecasting, the hybrid gradient method for multilayer feedforward neural network developed.
提出了径流长期分级预报的人工神经网络方法，给出了多层前馈网络的联合梯度算法。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
The dynamic model of a simulator of the boiler-turbine system of a 375 MW(megawatt) thermal power plant is built by a feedforward neural network that is trained offline.
针对一个375MW热电厂的锅炉—汽轮机系统仿真模型，采用多层前向神经网络进行离线建模；
The simulation results are presented to demonstrate that the model of an unknown nonlinear dynamical system is built with the multilayered feedforward neural network model.
仿真实例进一步表明，采用神经网络建立未知非线性动态系统的在线模型具有可行性。
The theoretical basis of ANN is function approximation, it USES a two - level feedforward neural network to approach arbitrary function to realize better power flow control.
径向基函数神经网络的理论基础是函数逼近，用一个两层的前向网络去逼近任意函数，以更好地进行潮流控制。
The research results show that, compared with standard feedforward neural networks, the ellipsoidal unit network is more reasonable and useful for fault diagnosis applications.
研究结果表明，与标准的前馈神经网络相比，是比较合理的和有用的故障诊断应用椭球单元网络。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
Based on the threshold decomposition of a k-level signal, an algorithm of decomposition and reconstruction suitable for implementation of feedforward neural network is proposed.
利用信号的阈值分解，导出适合神经网络实现的信号分解和信号恢复算法。
After discussing the connection between digital logic and a neuron, a strategy of implementing arbitrary Boolean logic using three layers feedforward neural network is presented.
在讨论数字逻辑与神经元的关系后，提出一种利用前向三层神经网络实现任意布尔逻辑的设计方案。
After discussing the connection between digital logic and a neuron, a strategy of implementing arbitrary Boolean logic using three layers feedforward neural network is presented.
在讨论数字逻辑与神经元的关系后，提出一种利用前向三层神经网络实现任意布尔逻辑的设计方案。
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