研究了一种基于投影算子的神经网络模型。
The recurrent neural network model based on projective operator is studied.
最后给出了神经网络模型分类性能的测试结果。
Finally, testing results of this model's sorting performance are presented.
为了求解模型提出构建综合运输网络模型的方法。
Moreover, in order to solve the model, a method to construct the integrated transport network is put forward.
这些人在社会网络模型中凸显出来是因为他们有很多的联系人。
Such people tend to stand out in network models because of their high level of connectedness.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
The fuzzy neural network model for dynamic equation of the PMT is established.
在联合网络模型中,受信任的联合中的每个合作伙伴被授权访问共享资源。
In the federated network model, each partner in a trusted federation is granted access to the Shared resources.
介绍前向人工神经网络模型,并与传统的统计学线性模型进行比较。
The author introduces the forward manual nerve net model and makes a comparison with the linear model of traditional statistics.
笔者采用面向最小配电区域的等值网络模型,使计算元件数极大简化;
An equivalent model for distribution system is presented, which takes the least distribution sections as analytic elements to significantly simplify the components calculation.
这种模式一般是比较难的程序员一起工作,是难以维持较层次和网络模型。
This model is normally more difficult for programmers to work with and is harder to maintain than the hierarchical and network models.
泛函网络是类似于人工神经网络的新型网络模型,是泛函方程的网络表达形式。
Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.
采用基于灵敏度分析的BP神经网络模型作为基分类器,进一步剔除冗余基因。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
针对与时间过程有关的模式分类问题,提出了一种自组织过程神经元网络模型。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
软件以环氧乙烷反应器神经网络模型为核心,包括训练、回忆、预测及说明四个部分。
The ANN model of oxirane reactor is the core of the software, and training, recalling, predication and illustration are included.
利用气隙比磁导法建立了混合式步进电动机的磁网络模型,推导出谐波反电势的表达式。
The magnetic network model of hybrid step motor is established according to the air gap late permeance method, and the expression of the harmonic back EMF is deduced.
结果:对遗传神经网络模型所预测的最佳分离条件进行实验,获得了比较满意的分离结果。
Results: Through the experiment with the optimized separation predicted by Genetic Neural Networks model, satisfied results of separation can be obtained.
试验结果表明,该网络模型的收敛速度比一般BP网络有了很大提高,具有很好的实用性。
Experimental results show that the converging speed of this network model is faster than the traditional BP network and this model has a good practicability.
采用RBF网络模型进行复杂微地形曲面重构,建立了适应于曲面重构的RBF网络模型。
Surface reconstruction for complex micro-landform is proposed using RBF network model in this paper and RBF network fit for curved surface reconstruction is accordingly established.
这样设置便可以创建不包含隐藏层的神经网络模型,从而使该神经网络模型与逻辑回归等效。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
应用人工神经网络方法,以航磁数据为样本,建立了航磁信息关联的BP人工神经网络模型。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
针对民用机场多因素气象预测问题的复杂性,该文构建出一种基于粗糙集的模糊神经网络模型。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
本文探讨了神经网络模型在股票预测上的应用,通过建立BP网络模型对上证指数进行了预测分析。
This paper discusses the application of neural network model in prediction of stock index and predicts the Shanghai exchange index by establishing BP network model.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
对于医学工作者而言,如何构建神经网络模型使其具有较好的泛化能力,并解决实际问题是他们关注的。
For medical researchers, particularly attention had been given to how to build a suitable ANN model to resolve the actual problems and model have excellent generalization capabilities.
依据小波的非线性逼近能力和神经网络的自学习特性,提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
基于SANCHEZ提出的有向的小世界类自旋网络模型,研究了引入周期性磁场驱动后所引起的相变特征。
Based on the model which was put forward by SANCHEZ, the stochastic resonance phenomena in the field-driven and spin-like model on Small-World network with directed links were investigated.
基于SANCHEZ提出的有向的小世界类自旋网络模型,研究了引入周期性磁场驱动后所引起的相变特征。
Based on the model which was put forward by SANCHEZ, the stochastic resonance phenomena in the field-driven and spin-like model on Small-World network with directed links were investigated.
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