Digital Speech Recognition System Based on Hybrid Model of CHMM and MLP 基于混合模型CHMM和MLP的数码语音识别系统
Optimum design of MLP network structure using fuzzy logic approach 用模糊逻辑方法优化多层前馈网络结构
You saw strong investor demand in high-growth sectors like life science and technology. You also had a lot of issuance of yield product in a surprisingly low rate environment& primarily MLPs but also Reits. 你会看到投资者对生命科学和高科技等高增长板块的强劲需求,也会看到,即便在利率很低的环境中,也出现了许多新发行的高收益产品&主要是MLP企业,还有REIT企业。
It can improve the system's performance if use three MLP fusion classifiers to make decision fusion. 利用三个人工神经网络分类器分别的识别结果,进行决策层融合,可以进一步提高整个系统的识别性能。
A model combining MLP with fuzzy-set approach, the MLPs with N-2-1 or N-H-1 architecture, and the method of initializing weights are proposed. 建立了MLP和模糊集相结合的新模型;分析了MLP的结构为N-2-1和N-H-1,给出权重初始化的方法;
Face Detecting Using MLP and FFT 利用MLP和FFT实现快速脸部检测
The Application of MLP Neural Network in Image Diagnosis of Cervix Cell MLP神经网络在子宫颈细胞图像识别中的应用
A Method for Forecasting Regional Logistics Demand Based on MLP Neural Network and Its Application 基于MLP神经网络的区域物流需求预测方法及其应用
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 Classification Model of RS Images Based on Artificial Neural Network& MLP 基于人工神经网络&多层感知器(MLP)的遥感影像分类模型
Range sidelobe suppression for binary phase-coded radar signal is studied in this paper. A Multiple Layer Perceptron ( MLP) network is used to implement pulse compresson and sidelobe suppression for 13 Barker codes. 本文研究了二相编码雷达信号的距离旁瓣抑制问题,用多层感知器网络实现了13位巴克码的脉冲压缩和旁瓣抑制处理。
Research on The Noise Robustness of Speaker Verification System Based on Sub-band HMM/ MLP Model 基于子带HMM和MLP的话者确认系统的噪声鲁棒性研究
This paper introduces the application of BP algorithm based multilayer perceptrons in speaker verification. 介绍基于误差反向传播算法的多层感知(MLP)网络在说话者识别中的应用。
A new architecture is presented in this paper, especially to the single fault tolerance of the single hidden layer MLP. 本文提出了一种新的冗余体系结构,针对单隐层MLP的单故障容错问题。
Our contribution in this regard is the following: A chaotic FH sequence is developed by using Logistic map as well as a multiple layer perceptron ( MLP) neural networks; 本文在这方面所作的工作如下:利用Logistic映射和多层神经网络(MLP),产生了一个混沌跳频序列;
The other is the Linearized Optimization Layer by Layer ( LOLL) algorithm which speeds up MLP's training procedure. 为了提高MLP的训练速度,提出了一种线性化逐层优化(LOLL)MLP训练算法。
According to the perception of human's ear and noise feature of different frequency-bands, the algorithm compensates the effects of noise with statistical matching, MAP estimation and HMM/ MLP nonlinear mapping. 该算法依据人耳感知的频选性,根据各子带噪声特点采用统计匹配、MAP估计和HMM/MLP非线性映射来补偿噪声环境的影响。
The regional logistics demand forecasting model based on MLP artificial neural network ( ANN) not only explains the nonlinear relationship between regional economy and regional logistics demand but also puts forward a new idea and methodology for regional logistics demand forecasting. 为此提出了基于MLP神经网络的区域物流需求预测模型,不仅揭示了区域经济与区域物流需求之间的非线性映射关系,同时也为区域物流需求预测提供了一种新的思路和方法。
This paper presents a hybrid model of Continuous Density Hidden Markov Model ( CDHMM) and the Multi-Layer Perceptron ( MLP). 本文提出了一种由连续隐马尔可夫模型(CDHMM)与多层感知器(MLP)构成的混合模型,并将该模型应用于语音孤立词识别。
Experiments show that hybrid GMM/ ANN system of speaker identification can gain higher identification ratio than GMM and MLP. 实验表明,GMM/ANN混合系统的说话人辨认能够取得比基于GMM和基于MLP(多层感知器)更高的辨认率。
The use of feed forward neural network for time series prediction is fully recognized and a number of models have been developed, for example, Multilayer Perceptron ( MLP), Back Propagation ( BP) and Radial Basis Function ( RBF) network etc. 前馈神经网络在时间序列预测中的应用已得到充分地认可,一些模型已经提出,例如多层感知器(MLP),误差反向传播(BP)和径向基函数(RBF)网络等等。
A simplified neural network architecture is presented. It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model ( HMM) with multi-layer perceptron ( MLP). 研究适用于隐马尔可夫模型(HMM)结合多层感知器(MLP)的小词汇量混合语音识别系统的一种简化神经网络结构。
We propose a new algorithm for rejection based on post-probability differences and Multi-Layer Perceptron ( MLP). 提出了一种以相邻后验概率差值为特征的多层感知人工神经网络(MLP)拒识算法。
A New Speech Recognition System Using SOM and MLP Neural Networks SOM结合MLP的神经网络语音识别系统
Analyzing multi-layer perception network ( MLP) for range sidelobe suppression, a new neural network based on wavelet transform ( WTNN) is presented. H.K等所提的多层感知器方法(MLP)的基础上,提出了一种基于小波变换的神经网络方法(WTNN)。
This method has the following characteristics: ( 1) Calculate the probability between alerts using MLP network. 本文方法有以下特点:(1)用MLP网络来计算报警之间的关联概率。
This paper designs a classifier based on MLP neural network model which used BP learning algorithm, and use in the face recognition systems under complex lighting conditions. 本文设计一个基于MLP神经网络模型的分类器,该分类器使用的BP学习算法,并应用在复杂光照条件下的人脸识别系统中。
To do this, Try touse Bayesian neural network I to forecast performance IP bearer network. 为此尝试将贝叶斯MLP神经网络引入到IP承载网进行性能预测。