Location:
Search - ANN propagation
Search list
Description: 人工神经网络教程，反向传播算法，新的程序，直接运行-ANN guides, back-propagation algorithm, the new procedures, direct operation
Platform: |
Size: 5013 |
Author: 宋小雨 |
Hits:
Description: 用人工神经网络实现异或的功能。用反向传播算法（BP）来实现神经网络，正确率可以达到80% -using artificial neural network XOR functions. With back-propagation algorithm (BP) to achieve neural network, can achieve an accuracy rate of 80%
Platform: |
Size: 14336 |
Author: 邬源 |
Hits:
Description: 人工神经网络教程，反向传播算法，新的程序，直接运行-ANN guides, back-propagation algorithm, the new procedures, direct operation
Platform: |
Size: 5120 |
Author: 宋小雨 |
Hits:
Description: 人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80' s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Propagation), its network structure and algorithm for intuitive, simple, application in the industrial field more.
Platform: |
Size: 159744 |
Author: pjh |
Hits:
Description: Traning for ANN with back propagation
Platform: |
Size: 1024 |
Author: Viviane |
Hits:
Description: 自己编写的BP神经网络matlab算法，m文件。-Back Propagation Artificial Neural Networks, ANN
Platform: |
Size: 1024 |
Author: 王晓波 |
Hits:
Description: back propagation ANN training
Platform: |
Size: 1024 |
Author: Hasan |
Hits:
Description: 神经网络 反向传播网络 BP神经网络 基础学习 不错的资料 -BP neural network back-propagation neural network learning good information network infrastructure
Platform: |
Size: 2048 |
Author: 尹贺峰 |
Hits:
Description: 简单实现了使用三层误差反向传播神经网络进行数值拟合的算法，-Simple three-error back-propagation neural network numerical fitting algorithm,
Platform: |
Size: 1943552 |
Author: 彭龙涛 |
Hits:
Description: ann progra with error back propagation
Platform: |
Size: 1024 |
Author: Partha Kayal |
Hits:
Description: ANN on back propagation
Platform: |
Size: 136192 |
Author: Dipjyoti Metia |
Hits:
Description: BP网络是一种按误差逆传播算法训练的多层前馈网络，目前应用较为广泛。它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。本文讲述了一种关于BP神经网络应用实例。-BP network is a back propagation algorithm by former Multilayer feedforward network, currently used more widely.They can learn and store a lot of input- output mode mappings without prior reveal mathematical equations that describe this map. This article describes an on BP neural network application examples.
Platform: |
Size: 20480 |
Author: 陶陶 |
Hits:
Description: As signatures are widely accepted bio-metric for authentication and identification of a person because every person
has a distinct signature with its specific behavioral property, so it is very much necessary to prove the authenticity of signature
itself. There are various techniques to signature recognition with a lot of scope of research. In this paper off-line signature
recognition and verification system using Artificial Neural Network (ANN) is purposed. The purposed network based upon the
adaption of ANN to recognized signature to connected type pattern. The purpose ANN was trained with back propagation with
momentum and adaptive learning rate. A triple hidden layer ANN with 100 inputs 58.38.20 hidden neurons layers and 5 neurons
in output layers gives best results as compared with other networks. This paper represents a brief review on various approaches
used in signature verification systems.
Platform: |
Size: 100352 |
Author: shiwi |
Hits:
Description: 人工神经网络（Artificial Neural Networks，ANN）系统是 20 世纪 40 年代后出现的。它是由众多的神经元可调的连接权值连接而成，具有大规模并行处理、分布式信 息存储、良好的自组织自学习能力等特点。BP（Back Propagation）算法又称为误差 反向传播算法，是人工神经网络中的一种监督式的学习算法。BP 神经网络算法在理 论上可以逼近任意函数，基本的结构由非线性变化单元组成，具有很强的非线性映射能力。(The Artificial Neural Networks (ANN) system appeared after 1940s. It is made up of a number of neurons with adjustable connection weights. It has the characteristics of massively parallel processing, distributed information storage, and good self-organizing and self-learning ability. The BP (Back Propagation) algorithm, also known as the error back propagation algorithm, is a supervised learning algorithm in the artificial neural network. The BP neural network algorithm can approximate any function in theory, and the basic structure is composed of nonlinear change units, and has a strong nonlinear mapping ability.)
Platform: |
Size: 4776960 |
Author: songguo2021
|
Hits:
Description: 双隐层反向传播神经网络，预测,分析均方根误差误差,数据包传送源码程序。(It is a double hidden layer back-propagation neural network, future line prediction, analysis error, data packet transmission source program.)
Platform: |
Size: 1024 |
Author: legisl
|
Hits: