您要查找的是不是：
- muhilayer perceptron 多层感知器
- Perceptron as Feature Detector. Visual Receptive Fields. 做为特征探测器的感应机。视觉的接受域。
- There are important differences from the perceptron algorithm. 这里有一些与感知器算法相区别的重要不同点。
- The perceptron can only solve linearly separable problems. 感知机只能解决线性可分问题。
- Multi layer perceptron (MLP) is a typical artificial neural network. 摘要多层感知器神经网络是典型的人工神经网络模型。
- 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。
- A hierarchically multi-layered perceptron(HMLP)is proposed to identify syllable. 针对多层感知器网络在分类模式增加时，网络结构增大，学习时间冗长，识别率下降；
- 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。
- Rosenblatt, F. 1958.The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. 张斐章、梁晋铭，1999，类神经模糊推论模式在水文系统之研究。
- Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. 然而，现有的感知器学习演算法无法轻易的对这个函数最佳化。
- To overcome those difficulties, we suggest the multiplayer perceptron trained by a back propagation as our recognizer. 我们在此建议使用利用倒传递网路训练的多层次认知元来克服这个困难。
- We conclude that the perceptron act not only as a classifier, it performs classifier with gradient feature. 因此，单层感知机不只做单纯的分类，它能做有层次的分类。
- Conclusion Perceptron neural network can be used to set up clinical diagnosis system. 结论:可以用感知器神经网络建立临床的疾病诊断系统。
- Based on the single-layer perceptron model, a relation between sample size and error classifying for the design of fault classifier for the AFR engine is given. 摘要针对基于单层感知器模型的发动机故障进行分类器设计，研究了故障信号的学习样本容量和分类误判率之间的关系。
- The Microsoft Neural Network algorithm creates classification and regression mining models by constructing a multilayer perceptron network of neurons. Microsoft神经网络算法通过构建多层感知器网络来创建分类和回归挖掘模型。
- This article constructs an algorithm which integrates the theory of perceptron with the basic idea of self-adaptive algorithm to resolve this problem. 本文将感知器原理与自适应算法的基本思想结合在一起,构造了一种新的算法,解决了该问题。
- Compared with the conventional perceptron nerual network, its convergence rate is faster, and it is more robust to the circumstance change. 与传统的基于反向传播算法的感知器神经网络相比，径向基函数网络具有收敛速度快，对环境变化不敏感等优点。
- The Problem of Credit Assignment. Perceptron Learning Rule. Convergence Theorem.? Learning by Gradient Following. Online learning. 原因探究、应机学习规则、敛定理。梯度跟随学习法、上学习。
- However, looking for the global optimal parameters for multi-layer perceptron trained by back-propagation algorithm has always been a difficulty. 但是，采用误差反 向传播算法训练的多层感知器寻找全局最优的网络参数一直是一个 难题。
- In this paper, a back propagation (BP) algorithm based multi-layer perceptron model was proposed to discriminate thermophilic and mesophilic proteins. 摘要采用误差反传(BP)算法的多层感知机模型，对嗜热蛋白和常温蛋白进行模式识别。
