perceptrons
英
美
网络 感知机; 感知器; 认知器演算法; 感知机网路; 认知器
双语例句
- We introduce ridge approximation techniques, which include single-and multi-layer perceptrons and projection pursuit regression techniques.
我们要介绍包含单层和多层式认知及投影式追踪回归法在内的脊近似值法。 - Unit Circle Algorithm of Perceptrons Study Rule with Oddity Sample
包含奇异类样本的感知机学习规则的单位圆算法 - The detection approach based on multi-mutation-pattern artificial idiotypic network is compared with the detection approach based on multilayer perceptrons through simulations. The results show that the average false positive rate is decreased by 17.43% and the average detection accuracy of unknown attacks is increased by 24.27%.
仿真结果表明，多变异模式独特型网络检测方法与多层感知器检测方法相比，平均误报率下降了17.43%，未知攻击的平均检测准确率提高了24.17%。 - This paper proposed that the classification losses are calculated by multi-layer perceptrons in MCE training. So, MCE training can be incorporated with MLP classifier design in an integrated neural network structure, and realized by means of an effective error back-propagation ( BP) algorithm.
采用MLP实现MCE训练中的分类损失计算，从而将MCE训练过程与MLP分类器设计统一在一个神经网络结构中，通过BP算法予以实现。 - At first, we analyze the dual flat manifold structure of stochastic neural networks, and then give the em algorithm implementation for 3 layers of stochastic perceptrons. A speeding theory of the em algorithm is shown.
对于多层随机神经网络模型，我们从微分流形的角度分析它的对偶平坦流形结构，描述em算法对于多层前馈随机神经网络模型学习算法实现和加速技术。 - Stability analysis of recurrent multilayer perceptrons: LMI approach
递归多层感知器的稳定性分析&LMI方法 - Then, a method is presented to compress the number of hidden nodes, which can be extended to more than three layer perceptrons and to the case of using different activation functions.
然后，给出了一种可对上述三层感知器进行压缩的隐节点的压缩方法，它可以推广到三层以上的感知器和节点激发函数不同的情形。 - Utilizing the high linear property of the adaptive linear element and classification of perceptrons, designed a neural network, which can be used in the fault diagnosis of redundancy sensitive elements.
应用自适应线性元件能实现线性，感知器具有分类的特点，设计出一种神经网络，可用于余度敏感器结构的故障诊断。 - The new perceptrons have both the learning ability of the neural network and robustness, and strong random searching ability of genetic algorithm.
新算法既有神经网络的学习能力和鲁棒性，又有遗传算法的强全局随机搜索能力。 - It provide the MSD with the capability of employing subjective behavior of perception of human's auditory system, by using the theory of approaching to nonlinear function of multilayer perceptrons ( MLP) and radial basis function networks ( RBFN).
利用前向神经网络，包括多层感知器和径向基函数网络，对多维非线性函数的逼近原理，使得谱失真测度函数具备了表现人耳听觉系统的主观感知行为的能力。 - In this paper, a combined basis neural network is proposed for underwater acoustic target classification. It is composed of radial basis functions and multi layer perceptrons whose characteristics on the classification are different.
本文根据不同神经网络的分类特点，提出将径向基函数网络和多层感知器网络复合构成复合基网络，用于水声信号的分类识别。 - For achieving earthquake prediction, the multi-layer perceptrons show to be a cost-effective technique superior to traditional statistical methods such as ARIMA.
为实现地震预报，多层感知器已被看作是较传统统计方法如ARIMA更有效的一种技术。 - The number of the hidden layers of multilayer perceptrons ( MLPs) is analyzed, and three-layer perceptrons neural network is adopted;
对多层感知器隐层数进行了分析，确定采用三层感知器神经网络； - Study on Depression Classified System Based on Multilayer Perceptrons Artificial Neural Network
基于多层前馈型人工神经网络的抑郁症分类系统研究 - This paper gives a simple and practical construction method of realizing continuous mapping by a three-layer perceptron, which leads to compensate for the incompletely trained multilayer perceptrons to the global minima.
本文首先提出了一种实现连续映射的三层感知器的构造方法，该方法对陷入局部极小点的多层感知器，可以补偿到全局最小点。 - Multilayer perceptrons are used in this algorithm to model the nonlinear part of the separation structure. The algorithm switches between sub and super Gaussian probability models during learning according to a stability condition and operates in a block adaptive manner.
该算法用多层感知器对分离结构的非线性校正部分进行建模，迭代过程中根据一稳定性条件在分别适用于亚、超高斯信号的概率模型间进行切换并以块自适应方式工作。 - In this article we investigate logic classification problems that are solved using perceptrons on MATLAB condition.
本文研究在MATLAB环境下，利用感知器求解逻辑分类问题。 - This optimization BP algorithm introduces simulated annealing mechanism to genetic algorithm and have it combined with multilayer perceptrons to form a compounding optimization perceptrons.
该算法是在遗传算法中引入模拟退火机制，将其同BP算法结合，形成一个混合的优化算法。 - In this paper is studied the average memory capacity of first-order perceptrons and it is estimated in the n-dim binary input case that an upper bound of it is 2n and a lower bound of it, 1/ 2 n.
本文对于二元输入一阶感知机平均记忆容量C（n）（n为输入模式向量的维数）进行了估计，得出其上、下界分别是2n，1／2n。 - The EM learning algorithm for multilayer stochastic perceptrons
多层随机神经网络em算法 - 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。 - This paper describes a clear interpretation of internal behaviors of multi-layer perceptrons ( MLPs) used for pattern classifications, functional approximations, and parameter estimations.
本文对用于模式分类、函数逼近、参数估计的多层感知器（MLPs）给出1个清晰的关于内部行为的解释。 - Extending this theory, this paper analyzes the sigmoidal neurons and the internal behaviors of single hidden-layer perceptrons ( MLPs) with sigmoid neurons trained for pattern classifications.
本文将此理论扩展到非线性sigmoid神经元，分析了用来解决模式分类问题的、由sigmoid神经元构成的单隐层MLP（多层感知机）的内部行为； - Multilayer perceptrons artificial neural network ( MLPANN) is one of the most available ANN.
多层前馈型人工神经网络（MLPANN）是应用广泛的一种人工神经网络。 - The results forecasting of coal and cock materials destory has been done by BP neural network and application of multilayer perceptrons based on genetic simulated annealing algorithm.
其次，对煤岩体材料后破坏的结果进行了预测&冲击地压最大震级的神经网络预测及遗传算法与神经网络的融合预测。 - This thesis realizes rockburst mathematical model by adopting multilayer forward network and optimization BP algorithm based on genetic simulated annealing algorithm which has been used in the network training perceptrons.
笔者采用多层前向网络对该问题进行数学建模，网络的训练算法采用基于遗传模拟退火的BP优化算法。 - As the basic unit of the feedforward neural networks, perceptrons have the ability to classify linearly separable training patterns correctly.
作为该网络基本组成的感知器，具有对线性可分问题进行正确分类的能力。 - Application of multilayer perceptrons based on genetic simulated annealing algorithm to rockburst
遗传模拟退火的BP算法在冲击地压中的应用 - On the basis of the network structure equation of multi-layer feed-forward neural network with cross connection, discriminants of quantity of hidden layers and discriminants of quantity of perceptrons each layer are given.
该算法通过引入有方向的均方误差，在有跨越连接的多层前馈人工神经网络结构方程式的基础上，分别导出隐层层数和隐层神经元数判别式。 - Furthermore, understanding the method of perceptrons algorithm can better lay the foundation for us to understand other complex neural network models.
同时理解感知器的工作原理，可以为我们更好的理解其它复杂的神经网络模型奠定基础。