本文研究神经网络的多层感知器模型在语音识别中的应用。
This paper describes the use of multi-layer perception model of neural network in speech recognition.
提出了一种单层感知器网络训练的新算法。
A new algorithm is proposed for training single layered perception neural networks.
本文研究了感知器在通信信道均衡中的应用。
In thi paper, we study the application of perception to the communication channel equalization problem.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
该文在研究感知器基本模型的工作原理和几何意义的基础上，着重分析了感知器基本模型的局限性。
On the base of the principle and geometrical presentation of typical perception model, the limitations of typical perception model are studied.
为了使感知器模型有更大的应用范围，该文主要从如何用感知器来解决非线性问题的角度来研究推广感知器模型。
To expand the practical range of perception, the paper researches how to develop the perception model to resolve the problem of nonlinear separability.
分析了感知器算法解空间的几何特性，提出了一种基于解区域的感知器改进算法。
This paper presents an improved perception approach based on the soluble region, and puts forward a process by analyzing the geometry characteristic of the perception approach in which solve space.
提出了一种基于多层感知器网络的曲面重构算法(ML P SR)，建立了用于曲面重构的多层感知器网络模型。
The paper presents a surface reconstruction algorithm based on multi layered perception (MLPSR), and constructs a neural network model of surface reconstruction.
提出了一种基于多层感知器网络的曲面重构算法(ML P SR)，建立了用于曲面重构的多层感知器网络模型。
The paper presents a surface reconstruction algorithm based on multi layered perception (MLPSR), and constructs a neural network model of surface reconstruction.
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