Multilayer perceptron

A number of other learning methods for training Multilayer Perceptron .

用于训练多层感知器的其它学习方法；

Hardware Implementation of the Multilayer Perceptron for a Neural Network

一类神经网络多层感知器的全硬件实现

Intelligent Altitude Sensor Based on Artificial Neural Networks Using Multilayer Perceptron

基于多层感知机神经网络的智能高度传感器设计

Approach to rule extraction and generation using rough Multilayer Perceptron networks

基于粗糙MultilayerPerceptron网络的规则提取及生成方法研究

Dynamic Radar Target Waveform Recognition Based on Locally Connected Multilayer Perceptron

基于局部连接型多层前馈网络的雷达目标动态回波识别

The second one is a multilayer perceptron based on auto adaptive fuzzy membership functions .

第二种基于自适应隶属度函数的多层感知器，是对前一种方法的近似。

A nonlinear equalization method based on multilayer perceptron for OFDM powerline communication

基于多层感知器的低压电力线时变信道非线性均衡方法

Research on Multilayer Perceptron Learning Algorithm

多层感知器学习算法研究

Constructing Knowledge-based Fuzzy Multilayer Perceptron by Using Rough Sets

用粗糙集构造基于知识的模糊多层感知器

Based on fuzzy information processing and multilayer perceptron , a fault diagnosis scheme of condenser is presented .

基于模糊信息处理和多层前馈感知器提出了汽轮机凝汽设备的故障诊断方案。

Adaptation of Neural Network for Speech Recognition : Comparison of Multilayer Perceptron and LVQ

语音识别的神经网络自适应方法：多层感知器与LVQ的比较

After some research I have chosen a multilayer perceptron and standard back-propagation algorithm for training .

经过我选择了多层感知和标准的反向传播训练算法的研究。

A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper .

介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。

Applying multilayer perceptron to software maintainability improvement

多层感知器在提高软件可维护性上的应用

Sensitivity Analysis of Multilayer Perceptron

多层感知器的灵敏度分析

In detail , I construct a trading strategy based on the predicted results which is provided by the multilayer perceptron network structure .

通过构建多层感知器网络结构对股指期货的价格进行预测，然后基于预测的结果构建交易策略。

Design of rectangular waveguide terminal matched load based on multilayer perceptron neural network ( MLPNN ) is presented .

讨论了多层感知器神经网络（MLPNN）在矩形波导终端匹配短负载设计中的应用。

In this paper , a multilayer perceptron scheme trained with MSE criterion was proposed for the nonlinear channel equalization .

该文采用基于多层感知器（MLP）的均方差（MSE）准则实现了一种时变信道的非线性均衡。

The separating system consists of a multilayer perceptron ( nonlinear part ) followed by a linear blind deconvolution ( linear part ) .

分离系统由多层感知器（非线性部分）后接一个线性盲解卷过程（线性部分）组成。

The feedforward neural network of multilayer perceptron architecture is used . Comprehensive diagnosis method of cutting chatter categories is investigated with the neural network .

使用多层感知器型的前馈神经网络，研究了切削颤振类别的综合诊断方法。

The used neural network is multilayer perceptron ( MLP ) with fast learning ( FL ) , which is fully interconnected network .

这里我们使用的神经网络是用快速学习算法（FL）训练的多层前馈网络（MLP），训练速度和精度与传统神经网络相比都有较大提高，网络结构是全连接的。

Knowledge-based Fuzzy Multilayer Perceptron

基于知识的模糊多层感知器

In this paper , the authors study the detection of signals in non-Gaussian noise , and employ a multilayer perceptron neural network as a detector .

本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。

So , the NN ( neural network ) based combination technique is studied , which introduces the NN model with multilayer perceptron to determine model structure through simulation .

针对这一问题，开展了基于神经网络合并技术（NN）的研究.采用多层感知机神经网络模型，通过仿真实验确定了模型结构。

The network structure design and the quantization bits selection in the hardware implementation of multilayer perceptron are investigated in case of the existence of quantization error .

以多层感知器的相对灵敏度为指标，利用灵敏度分析方法，研究了存在量化误差的情况下，多层感知器硬件设计中的网络结构设计和量化比特数选择问题。

Based on analyzing the multilayer perceptron neural network , it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function .

在分析多层感知器神经网络的基础上，推导了双曲正切函数为激励函数的误差后向传播算法。

Based on combination of fuzzy technique , multilayer perceptron theory and Petri nets , this paper presents a fuzzy neural Petri net model for C 3I data fusion .

本文将模糊技术、多层感知器理论与Petri网相结合，提出了一种关于C3I信息融合的模糊神经Petri网的模型。

For multilayer perceptron with single hidden layer , the computer simulation is done to get the number of hidden neurons and quantization bit which satisfy the design requirement .

针对单隐层感知器的硬件设计进行了计算机仿真，得到了满足设计要求的隐层神经元个数和量化比特数。

The paper synthesizes the advantages of the least square algorithm and the multilayer perceptron , and proposes an intelligent predictor which is fit for quick nonlinear predicting .

综合了最小二乘法和多层前馈网络（MLP）的优点，提出一种适合于快速非线性预测的智能预测器；

The simulations show the stability and effectiveness of the method . 2 . The nonlinear sub-system of the post-linear blind source separation structure is modeled by a multilayer perceptron .

后非线性盲分离系统中的非线性部分用一个多层感知器模拟。