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基于BP神经网络的非线性系统函数拟合算法,分为BP神经网络构建,BP神经网络训练和BP神经网络预测.
Update : 2011-12-01 Size : 47.35kb Publisher : zoezxc

动态一阶改进型BP神经网络对非线性系统的建模程序,直接运行即可!-Dynamic first-order modified BP neural network for nonlinear system modeling procedures can be directly run!
Update : 2025-02-17 Size : 1kb Publisher : liyan

DL : 0
BP神经网络的非线性系统建模-非线性函数拟合-BP neural network for nonlinear system modeling- nonlinear function fitting
Update : 2025-02-17 Size : 47kb Publisher : 张震亚

BP神经网络的非线性系统建模-非线性函数拟合 拟合的非线性函数-BP neural network for nonlinear system modeling- nonlinear function fitting non-linear function fitting
Update : 2025-02-17 Size : 50kb Publisher : lucy

BP神经网络的非线性系统建模-非线性函数拟合-bp regression
Update : 2025-02-17 Size : 47kb Publisher : jiaxing

DL : 0
BP神经网络的非线性系统建模-非线性函数拟合的一个matlab程序,供参考-BP neural network modeling of nonlinear systems- a non-linear function fitting matlab program, for reference
Update : 2025-02-17 Size : 267kb Publisher : xhbspark

DL : 0
BP神经网络的非线性系统建模——非线性函数拟合-BP neural network nonlinear system modeling- nonlinear function fitting
Update : 2025-02-17 Size : 48kb Publisher : 杨迪

DL : 0
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。-In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..
Update : 2025-02-17 Size : 1kb Publisher : 安茹

DL : 0
BP神经网络的非线性系统建模的非线性函数拟合(Nonlinear Function Fitting of Nonlinear System Modeling of BP Neural Network)
Update : 2025-02-17 Size : 48kb Publisher : 飞飞629

BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling of BP neural networks nonlinear function fitting)
Update : 2025-02-17 Size : 47kb Publisher : 青鱼

DL : 0
BP神经网络的非线性系统建模——非线性函数拟合(Nonlinear system modeling of BP neural networks -- nonlinear function fitting)
Update : 2025-02-17 Size : 48kb Publisher : nanala

在工程应用中经常会遇到一些复杂的非线性系统,这些系统状态方程复杂,难以用数学方 法准确建模。在这种情况下,可以建立 BP 神经网络表达这些非线性系统。该方法把未知系统看成是一个黑箱,首先用系统输入输出数据训练 BP 神经网络,使网络能够表达该未知函数,然后用训练好的 BP 神经网络预测系统输出 。(In engineering applications, some complicated nonlinear systems are often encountered. The equations of state of these systems are complex and difficult to model accurately by mathematical methods. In this case, BP neural networks can be established to express these nonlinear systems. The unknown system is regarded as a black box, first with the system input and output data to train the BP neural network, the network can express the unknown function, and then use the trained BP neural network to predict the output of the system.)
Update : 2025-02-17 Size : 49kb Publisher : JackeeY

BP神经网络构建根据拟合非线性函数特点确定BP神经网络结构,由于该非线性函数有两个输入参数,一个输出参数,所以BP神经网络结构为2—5—1,即输入层有2个节点,隐含层有5个节点,输出层有1个节点。 从非线性函数中随机得到2000组输入输出数据,从中随机选择1900组作为训练数据,用于网络训练,100组作为测试数据,用于测试网络的拟合性能。(Construction of BP neural network for nonlinear function fitting structure according to the characteristics of BP neural network, the nonlinear function of two input parameters and one output parameter, so the structure of the BP neural network is 2 - 5 - 1, namely, the input layer has 2 nodes, 5 nodes in hidden layer, the output layer has 1 nodes. 2000 sets of input and output data are obtained randomly from the nonlinear function. 1900 groups are randomly selected as training data and used for network training. The 100 set is used as test data to test the network's fitting performance.)
Update : 2025-02-17 Size : 46kb Publisher : 傲视天下

BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling based on BP neural network)
Update : 2025-02-17 Size : 47kb Publisher : abcdxyz001

BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling of BP neural network nonlinear function fitting)
Update : 2025-02-17 Size : 47kb Publisher : hano

DL : 0
BP神经网络的非线性系统建模,对非线性函数进行拟合。(Nonlinear system modeling of BP neural network)
Update : 2025-02-17 Size : 47kb Publisher : 积灰

DL : 0
该代码为基于BP神经网络的预测算法。对于复杂的非线性系统,难以用数学方法准确建模,在这种情况下,可以建立BP神经网络表达这些非线性系统。(The code is a prediction algorithm based on BP neural network. It is difficult for complex nonlinear systems to be modeled accurately by mathematical methods. In this case, BP neural networks can be established to express these nonlinear systems.)
Update : 2025-02-17 Size : 46kb Publisher : 不举高高么

BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling of BP neural network nonlinear function fitting)
Update : 2025-02-17 Size : 47kb Publisher : 32768

使用BP神经网络,实现非线性系统建模,包括完整的程序和测试数据。(BP neural network is used to realize nonlinear system modeling, including complete program and test data.)
Update : 2025-02-17 Size : 47kb Publisher : wisdomyz

《MATLAB 神经网络43个案例分析》全书源代码和数据,注释详细,神经网络学习很有帮助。内含《MATLAB 神经网络43个案例分析》目录:第1章BP神经网络的数据分类语音特征信号分类;第2章 BP神经网络的非线性系统建模-非线性函数拟合等。(Analysis of 43 Cases of Neural Network in MATLAB source code data, detailed comments. Included in the catalogue of 43 Cases Analysis of MATLAB Neural Network: Chapter 1 Data Classification of BP Neural Network Classification of Speech Characteristic Signals; Chapter 2 Nonlinear System Modeling of BP Neural Network - Nonlinear Function Fitting.)
Update : 2025-02-17 Size : 11.8mb Publisher : 段石头
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