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Description: backpropagtion neural network c
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Size: 11264 |
Author: nour |
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Description: this code for backpropagation on matlab. with indonesian language
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Size: 7168 |
Author: zaen |
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Description: useful backpropagation
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Size: 1024 |
Author: vanilson |
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Description: implement backpropagation(slide)
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Size: 129024 |
Author: vanilson |
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Description: 利用随机反向传播网络归类的学习算法。它是LMS算法的自然延伸，也是多层神经网络的有监督训练。-Classify using a backpropagation network with stochastic learning algorithm。
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Size: 1024 |
Author: 肖箫 |
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Description: backpropagation algortihm for fisher data
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Size: 1024 |
Author: samsaha |
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Description: the attached file contains backpropagation code using visual basic
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Size: 2048 |
Author: isra |
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Description: Source code Recognize character with backpropagation
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Size: 322560 |
Author: sor |
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Description: backpropagation algorithm in java
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Size: 19456 |
Author: bosta |
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Description: Back propagation implementation
for example
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Size: 21504 |
Author: Yoon Gyoo |
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Description: Lightweight Neural Network
This a lightweight implementation of a backpropagation neural network
routine in C. It doesn t do anything fancy: no millions of different
types of neural networks, no graphical user interface, just the routines
for computing and training a backpropagation neural network.
-Lightweight Neural Network
This is a lightweight implementation of a backpropagation neural network
routine in C. It doesn t do anything fancy: no millions of different
types of neural networks, no graphical user interface, just the routines
for computing and training a backpropagation neural network.
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Size: 95232 |
Author: btttnn |
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Description: back propagation method
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Size: 2048 |
Author: siadat |
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Description: Precise and fast control chart pattern (CCP) recognition is important for monitoring process environments
to achieve appropriate control and to produce high quality products. CCPs can exhibit six types of
pattern: normal, cyclic, increasing trend, decreasing trend, upward shift and downward shift. Except for
normal patterns, all other patterns indicate that the process being monitored is not functioning correctly
and requires adjustment. This paper describes a new type of neural network for speeding up the training
process and to compare three training algorithms in terms of speed, performance and parameter complexity
for CCP recognition. The networks are multilayered perceptrons trained with a resilient propagation,
backpropagation (BP) and extended delta-bar-delta algorithms. The recognition results of CCPs show the
BP algorithm is accurate and provides better and faster results.
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Size: 374784 |
Author: singh |
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Description: a matlab code for training a backpropagation neural network
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Size: 257024 |
Author: ssss |
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Description: Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally proposed by T.Kohonen as the method for clustering.
* Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.)
Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool.
If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
-Neural Network Based Clustering
using Self Organizing Map (SOM) in Excel
Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM)- originally proposed by T.Kohonen as the method for clustering.
* Neural Network based Clustering tool in Excel (209 KB in Zipped format. 947 KB when unzipped.)
Inside the downloaded zip file, you will find the Excel file containing the application. Before running it, I suggest that you go through the ReadMe worksheet. It contains brief instructions on how to run the tool.
If you are interested in building Prediction and Classification models in Excel using Feedforward-Backpropagation Neural Network, here are two small Excel based tools for you. Also, if you are interested in Tree based Classification models, here is a Tree based classifier in Excel.
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Size: 214016 |
Author: Jessie |
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Description: this a program on matlab backpropagation of error.-this is a program on matlab backpropagation of error.
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Size: 3072 |
Author: sarvesh |
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Description: neuro backpropagation project
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Size: 162816 |
Author: voltz88 |
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Description: Neural network source code with 2 learning process using backpropagation algorithms.
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Size: 388096 |
Author: Kow |
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Description: This a C code for implementing a neural network(Backpropagation)-This is a C code for implementing a neural network(Backpropagation)
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Size: 3072 |
Author: 余洋 |
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Description: backpropagation algorithm-backpropagation algorithm...
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Size: 15360 |
Author: sumi |
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