Location:
Search - BP FEEDFORWARD
Search list
Description: 请选用多层前馈网络和一种改进的BP算法对下面的多输入系统进行辨识仿真 -Please choose multi-layer feedforward networks and an improved BP algorithm to the following multi-input system for identification of simulation
Platform: |
Size: 4096 |
Author: 桦华 |
Hits:
Description: 这是一个用c实现的前馈人工神经网络BP算法，可以根据个人的需要进行修改-This is a c achieved by feedforward artificial neural network BP algorithm, based on their individual requirements can be modified
Platform: |
Size: 3072 |
Author: Zechao Li |
Hits:
Description: 反向传播算法也称BP算法，是一种神经网络学习的数学模型，解决多层前向神经网络的权系数优化-Back-propagation algorithm, also known as BP algorithm is a neural network study of the mathematical model and solve multi-layer feedforward neural network weights optimization
Platform: |
Size: 3402752 |
Author: wangzhuz |
Hits:
Description: 我们最常用的神经网络就是BP网络，也叫多层前馈网络。BP是back propagation的所写，是反向传播的意思。-We are the most commonly used neural network is a BP network, also known as multi-layer feedforward network. BP is written by the back propagation is the meaning of back-propagation.
Platform: |
Size: 1024 |
Author: 肖晔 |
Hits:
Description: design and implementation of feedforward neural network with BP training algorithm.(include the GUI)
Platform: |
Size: 564224 |
Author: maisam |
Hits:
Description: 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, Kd as the PID controller parameters ,insteading of the traditional PID parameters determined by experience. So it can obtain good control performance .
Platform: |
Size: 577536 |
Author: durongmao |
Hits:
Description: 前馈神经网络例程，BP神经网络，主要仿真了其功能原理-Feedforward neural network routines, BP neural network, the main principle of the simulation of its function
Platform: |
Size: 180224 |
Author: shaoyuan |
Hits:
Description: bp的matlab源代码 多层前馈网络用于图像压缩的网络模型、原理、算法及关键技术，并通过仿真实验说明了在BP神经网络图像压缩中，算法、激活函数和压缩率等参数的选择是至关重要的，它们与收敛时间以及重建图像的压缩性能息息相关。-the multilayer feedforward network for image compression network model, theory, algorithm and key technologies, by simulation illustrates the BP neural network image compression algorithm, activation function and the compression ratio parameter selection is crucial, they are closely related to the convergence time and the reconstructed image compression performance.
Platform: |
Size: 1024 |
Author: 小朱 |
Hits:
Description: 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法:Gauss变异动态调整BP算法中学习率参数和冲量系数-This program is a three-layer error back propagation feedforward neural networks supervised learning algorithm: the Gauss variation dynamically adjusts the learning rate in BP algorithm parameters and impulse coefficient
Platform: |
Size: 292864 |
Author: wanglu |
Hits:
Description: BP网络是目前前馈式神经网络中应用最广泛的网络之一，实现BP算法训练神经网络完成XOR的分类问题。
设计要求：
（1） 能够设置网络的输入节点数、隐节点数、网络层数、学习常数等各项参数；
（2） 能够输入训练样本；
（3） 实现BP算法的训练过程；
（4） 实现训练过程的动态演示；
（5） 训练完成后可输入测试数据进行测试。
-BP neural network is feedforward neural networks one of the most widely used network, training the neural network BP algorithm to achieve complete XOR classification problem. Design requirements: (a) be able to set up a network of input nodes, hidden nodes, network layers, learning constants and other parameters (2) to enter the training samples (3) to achieve BP algorithm training process (4) training process to achieve dynamic presentation (5) after completion of training input test data for testing.
Platform: |
Size: 380928 |
Author: 刘畅 |
Hits:
Description: BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。-BP (Back Propagation) network is proposed in 1986, a team of scientists led by Rumelhart and McCelland, is one kind according to the error back-propagation algorithm for training multilayer feedforward network, is one of the most widely used at present neural network model. BP network can learn and store a lot of input- output model mapping, without prior to reveal the mathematical equations describing the mapping relation. Its learning rule is to use the steepest descent method, through the back-propagation network to continuously adjust the weights and thresholds of the network, the error square and minimum. BP neural network topology, including input layer, hidden layer (input) (hide layer) and the output layer (output layer).
Platform: |
Size: 4096 |
Author: 陈发东 |
Hits:
Description: 使用前馈型神经网络（BP神经网络）进行交通预测的matlab源代码-Using feedforward neural networks (BP neural network) traffic forecasts matlab source code
Platform: |
Size: 2048 |
Author: guanglun |
Hits:
Description: Multilayer feedforward networks GA-BP hybrid learning algorithm
Platform: |
Size: 391168 |
Author: 刘 |
Hits:
Description: 多层前向反馈式神经网络是目前应用比较广泛的人工神经网络，其中BP(Back Propagation network，简称BP网络)学习算法是最著名的多层前向反馈式神经网络训练算法之一。该算法在图像处理和图像识别领域已经取得令人瞩目的成就，其主要思想是利用已知确定结果的样本模式对网络进行训练，然后利用训练好的网络进行图像的处理或识别。本文将讨论用MATLAB实现BP神经网络对人脸角度的分析。 -Multilayer feedforward neural network feedback is used widely in artificial neural networks, which BP (Back Propagation network, referred to as the BP network) learning algorithm is one of the feedback neural network training algorithm of the most famous multi-front. The algorithm in the field of image processing and image recognition has made remarkable achievements, the main idea is to use the known samples to determine the results of network training mode, and then use the trained network for image processing or recognition. This article will discuss the human face angle analysis using MATLAB BP neural network.
Platform: |
Size: 2048 |
Author: 张鹏 |
Hits:
Description: BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法（梯度法），通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input layer）、隐层(hide layer)和输出层(output layer)。(BP (Back Propagation) network is a group of scientists led by Rumelhart in 1986 and McCelland, is a kind of error back propagation training algorithm for the multilayer feedforward network, the neural network model is one of the most widely used. BP networks can learn and store a large number of mapping relations between input and output patterns without revealing mathematical equations describing such mappings. Its learning rule is to use the steepest descent method (gradient method) to continuously adjust the weights and thresholds of the network by back-propagation, so that the error sum of the network is minimum. BP neural network model topology includes input layer (input, layer), hidden layer (hide, layer) and output layer (output layer).)
Platform: |
Size: 21504 |
Author: vivian416
|
Hits:
Description: Matlab实现前向神经网络的方法 本文以Fisher的Iris数据集作为神经网络程序的测试数据集(Implementation of feedforward neural networks by Matlab)
Platform: |
Size: 61440 |
Author: 小猫发
|
Hits:
Description: 是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。(It is a multilayer feedforward network trained by error backpropagation algorithm, and is one of the most widely used neural network models. BP networks can learn and store a large number of input-output mapping relationships without the need to reveal the mathematical equations describing such mappings.)
Platform: |
Size: 38912 |
Author: 大白菜ml
|
Hits:
Description: BP(back propagation)神经网络是1986年由Rumelhart和McClelland为首的科学家提出的概念，是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络(BP neural network is a concept put forward by scientists from Rumelhart and McClelland in 1986. It is a multilayer feedforward neural network trained according to the error reverse propagation algorithm. It is the most widely applied neural network.)
Platform: |
Size: 2048 |
Author: 1940659732@qq.com
|
Hits:
Description: BP(back propagation)神经网络是1986年由Rumelhart和McClelland为首的科学家提出的概念，是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络。(BP (back propagation) neural network was founded in 1986 by Rumelhart and McClelland, led by the scientists put forward the concept of error backward propagation algorithm is a kind of according to the training of multilayer feedforward neural network, is currently the most widely used neural network.)
Platform: |
Size: 8192 |
Author: Ambers
|
Hits:
Description: BP网络（Back Propagation），是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。(BP nntool is a multilayer feedforward network trained by error inverse propagation algorithm. It is one of the most widely used neural network models at present.)
Platform: |
Size: 3072 |
Author: 白色*风车 |
Hits: