Location:
Search - backpropagation
Search list
Description: Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the training of artificial neural network, however backpropagation algorithm is the traditional method for training purpose. this document contain the mathematical formation of artificial neural network with backpropagation training.
Platform: |
Size: 664576 |
Author: Karthick |
Hits:
Description: BP神经网络，用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练，待算法大致收敛后，然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network，which is used to approximate function.
Platform: |
Size: 2048 |
Author: IT神族 |
Hits:
Description: backpropagation source code
Platform: |
Size: 2048 |
Author: ebrahim |
Hits:
Description: a sample of back propagation in neural network
Platform: |
Size: 4096 |
Author: mostafa |
Hits:
Description: Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)-Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)
Platform: |
Size: 82944 |
Author: mllab |
Hits:
Description: MLP backpropagation algoritm without toolbox
Platform: |
Size: 148480 |
Author: sr_mfg |
Hits:
Description: training for backpropagation neural networl
Platform: |
Size: 2048 |
Author: hussein |
Hits:
Description: test code for backpropagation neural network
Platform: |
Size: 1024 |
Author: hussein |
Hits:
Description: Backpropagation example
Platform: |
Size: 2048 |
Author: ybrran |
Hits:
Description: Backpropagation code
Platform: |
Size: 3072 |
Author: Andreas |
Hits:
Description: 有限脉冲神经网络MATLAB源码，由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。-Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error terms are symmetrically filtered backward through the network
Platform: |
Size: 382976 |
Author: zhanglei |
Hits:
Description: 一个前馈反向传播人工神经网络的实现，并应用CUDA加速-Implementation of a feed-forward backpropagation artificial neural network using CUDA
Platform: |
Size: 46080 |
Author: yx |
Hits:
Description: xor function with backpropagation
Platform: |
Size: 1024 |
Author: iman |
Hits:
Description: Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve real-world problems in various
domains. Neural networks have also been widely synergized
with other machine learning and complementary
techniques to achieve improvements in robustness, adaptivity,
and applicability. In this special issue, a total of
seven articles, based on extended papers the 12th
International Conference on Knowledge-Based and Intelligent
Information & Engineering Systems (KES2008) as
well as other submissions, are presented. These
papers form a small sample of research in demonstrating
the usefulness of intelligent information processing techniques
in the design and application of neural networks. A
summary of each paper is as follows.
-Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve real-world problems in various
domains. Neural networks have also been widely synergized
with other machine learning and complementary
techniques to achieve improvements in robustness, adaptivity,
and applicability. In this special issue, a total of
seven articles, based on extended papers the 12th
International Conference on Knowledge-Based and Intelligent
Information & Engineering Systems (KES2008) as
well as other submissions, are presented. These
papers form a small sample of research in demonstrating
the usefulness of intelligent information processing techniques
in the design and application of neural networks. A
summary of each paper is as follows.
Platform: |
Size: 61440 |
Author: samir |
Hits:
Description: Tran a neural network using a combination of PSO and backpropagation algorithm
Platform: |
Size: 16384 |
Author: Ello |
Hits:
Description: Creating perceptron and BackPropragation Algorithm in matlab
Platform: |
Size: 8192 |
Author: szymon9411
|
Hits:
Description: 这是用于深度学习的Matlab工具箱
深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。
它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。
目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab toolbox for Deep Learning.
Directories included in the toolbox
-----------------------------------
`NN/` - A library for Feedforward Backpropagation Neural Networks
`CNN/` - A library for Convolutional Neural Networks
`DBN/` - A library for Deep Belief Networks
`SAE/` - A library for Stacked Auto-Encoders
`CAE/` - A library for Convolutional Auto-Encoders
`util/` - Utility functions used by the libraries
`data/` - Data used by the examples
`tests/` - unit tests to verify toolbox is working)
Platform: |
Size: 14761984 |
Author: 3Radiant
|
Hits:
Description: 反向传播神经网络,两输入两隐含单元一输出(Backpropagation Neuron Network)
Platform: |
Size: 103424 |
Author: 涛涛的的
|
Hits:
Description: neural network multilayer persptron trained by backpropagation
Platform: |
Size: 201026 |
Author: rafal@hussain |
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:
«
1
2
...
4
5
6
7
8
910
»