查询词典 neural network

A three-tiered bp neural network program, which has very detailed notes, very suitable for the general neural network and artificial intelligence for beginners.

详细说明：一个三层的bp神经网络程序，里面有非常详细的注解，非常适合广大神经网络和人工智能的初学者。

By analyzing the equivalence of fuzzy system and single-layered neural network, stable single-layered neural network adaptive control approach for nonlinear systems is proposed.

在分析模糊系统和单层神经网络等价性的基础上，提出非线性系统的单层神经网络稳定自适应控制方法。

An self-correction PID chaos control scheme consisting of neural network identifier and neural network controller was presented.

提出了一种基于神经网络参数自整定PID控制器的混沌控制方法。

The four models were analyzed and normalized. We studied the procedure and method of building forest fire model base. Model base was build by object-oriented method based on category of model. Forest fire spreading models algorithm were implemented. We designed model dictionary base, model file base, and model knowledge base. Model base administration and maintenance functions were developed and implemented model file management, parameter management and knowledge management. The problems of interface between of model base and database were solved by means of model data control files. Model base ensured the availability of supporting for forest fire model suitability selection technology and forest fire model self-adapting updating technology.(3) Based on BP artificial neural network, we designed a frame construction of forest fire model selection of suitability. Forest fire model selection knowledge was produced through BP artificial neural network.

2建立了林火模型库建设的林火蔓延模型评价标准，根据模型评价标准和试验区实际情况，在42个林火蔓延模型中选择了目前最具有影响力和最具有典型代表性的Rothermel模型、王正非模型、加拿大模型和澳大利亚模型进行了解析和归一化处理；对林火模型库的建库过程和方法进行了研究，在林火模型分类基础上，采用面向对象的模型库表示方法建立了林火模型库；实现了林火蔓延模型算法，设计了模型字典库、模型文件库和模型知识库；开发了模型库管理与维护功能，实现了模型的文件管理、参数管理和知识管理；通过模型数据管理文件解决了模型库与数据库之间接口问题；实现了林火模型库对林火模型适宜性选择和林火模型自适应修正技术的有效支持。

In order to gain the result of the safety assessment of CFST arch bridge, based on the traditional safety evaluation methods, artificial neural network and analytic hierarchy process, a safety evaluation method based on radial basis function neural network was presented.

以全桥安全性评价为总体目标，在以往桥梁安全性评价方法的基础上，引入人工神经网络理论，并结合层次分析法，提出了基于径向基网络的钢管混凝土拱桥安全性评价方法。

Due to the nonlinear and nonstationary of river water turbidity, a novel intelligent forecasting model based on phase space reconstruction and RBF neural network is proposed. Firstly, the embedding dimension is chosen by using the false nearest neighbor method. And the time delay can be obtained with the mutual information. The phase space is reconstructed from the time series with the embedding dimension and the time delay got. The reconstructed time array is used as the input signal of RBF neural network.

首先将现场取得的数据进行预处理，建立所需时间序列样本；再利用虚假邻域法确定最小嵌入维数，根据互信息法计算确定浊度时间序列的最佳延迟时间；接着根据取得的嵌入维数和延迟时间对江水浊度时间序列数据进行相空间重构；利用重构相空间后的时间阵列，作为建立预报模型所需的浊度样本阵列，用RBF神经网络建立预报模型；利用该模型对江水浊度进行预报。

Due to the problem of fund, it is impossible to have acceleration sensors installed on every cable. In order to get each cables force, this paper presents a three-layer BP neural network model and trains the neural network with a number of measured data.

如何解决对每一根拉索索力值都能实时了解，本论文提出了用3层的BP神经网络构建红枫湖大桥桥索索力的网络模型，并用多个实测样板训练模型。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

小波神经元网络比多层前馈神经网络具有更多自由度和更好的顺应性。

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

摘 要：小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

ABSTRACT 摘要:Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

摘要摘要：小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。