Neural Networks Backpropagation tutorial

Learning By Backpropagation

A Neural Network (or artificial neural network) is a collection of interconnected processing elements or nodes. The nodes are termed simulated neurons as they attempt to imitate the functions of biological neurons. The nodes are connected together via links. We can compare this with axon-synapse-dendrite connections in the human brain.

A Multilayer Network

Initially, a weight is assigned at random to each link in order to determine the strength of one node’s influence on the other. When the sum of input values reaches a threshold value, the node will produce the output 1 or 0 otherwise. By adjusting the weights the desired output can be obtained. This training process makes the network learn. The network, in other words, acquires knowledge in much the same way human brains acquire namely learning from experience. Backpropagation is one of the powerful artificial neural network technique which is used acquire knowledge automatically.

Backpropagation method is the basis for training a supervised neural network. The output of Backpropagation network is a real value which lies between 0 and 1 based on the sigmoid function. The formula for the output is,
Output = 1 / (1+e-sum)
As the sum increases, the output approaches 1. As the sum decreases, the output approaches 0.

Source: Artificial Intelligence

Birkhäuser Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis (Modeling and Simulation in Science, Engineering and Technology)
Book (Birkhäuser)

You might also like:

Neural Network Tutorial - Ch. 4.2 The constructor (part 2)
Neural Network Tutorial - Ch. 4.2 The constructor (part 2)
Classification Using Weka - ABOLKOG
Classification Using Weka - ABOLKOG
Visualize Back Propagation: (3) Weight-Space
Visualize Back Propagation: (3) Weight-Space

15 Things You Shouldn't Be Paying For

2010-08-19 09:27:17 by YouUngratefulTurds

Basic Computer Software -- Thinking of purchasing a new computer? Think twice before you fork over the funds for a bunch of extra software. There are some great alternatives to the name brand software programs. The most notable is OpenOffice, the open-source alternative to those other guys. It's completely free and files can be exported in compatible formats.
Your Credit Report -- You don't have to pay for your credit report. You could sign up for one of the free credit monitoring services online to get a quick look at your credit report. You just have to remember to cancel the service before the end of the free trial. Or you could do one better and visit the only truly free place to see all three of your credit reports for free once a year.
Cell Phone -- The service plan...

Three-Photon Technology Improves Brain Imaging  — Cornell University The Cornell Daily Sun
Understanding how brain works will have huge impact in science and medicine,” Horton said. “But we can also use multiphoton imaging to detect cancer cells in living animals, which is another research direction of our ... Xu envisions the technology to ...

A neural basis for benefits of meditation  — Medical Xpress
The proposal, based on published experimental results and a validated computer simulation of neural networks, derives its mechanistic framework from the intimate connection in mindfulness between mind and body, since standardized mindfulness meditation ...

Neural Network Calculation (Part 5): Jordan Neural Network SRN Calculation
Neural Network Calculation (Part 5): Jordan Neural Network SRN Calculation

Related posts:

  1. Neural networks and applications tutorial
  2. Neural Network Backpropagation Code
  3. Neural Network Backpropagation c