Personal Iris Recognition Using Neural NetworkPerform Iris identification via neural network. | |
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Personal Iris Recognition Using Neural Network Ranking & Summary
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- License:
- Free
- Publisher Name:
- Luigi Rosa
- Publisher web site:
- http://www.advancedsourcecode.com/
- Operating Systems:
- Windows 2003, Windows Vista, Windows 95, Windows Me, Windows Server 2008, Windows 3.x, Windows NT, Windows XP, Windows 2000, Windows 98
- File Size:
- 60.75K
Personal Iris Recognition Using Neural Network Tags
- neural network identification neural network simulator track identification language identification line identification neural network architectures neural network model neural network framework artificial neural network neural network library Process Identification unique identification neural network platform iris recognition iris identification iris iris screensaver iris slideshow iris tool iris match Product Identification Palmprint Identification use neural network neural network trainer train neural network simulate neural network bacterial identification Beautiful Iris map neural network generate neural network neural network creator neural network engine use artificial neural network create neural network neural network function neural network implementation neural network class Iris Icon view neural network simulation neural network simulation analyze neural network neural network analysis study neural network test neural network neural network usage experiment neural network design neural network radionuclide identification Neural Network evolution spike neural network neural network simluation neural network generator Kohonen neural network peptide identification develop neural network neural network development neural network forecasting Neural Network Forecast Iris Segmentation Hybrid Iris Recognition tRNA anticodon identification Multi-Layer Neural Network Neural Network example learn Neural Network
Personal Iris Recognition Using Neural Network Description
Artificial Neural Networks (ANNs) are programs designed to simulate the way a simple biological nervous system is believed to operate. They are based on simulated nerve cells or neurons, which are joined together in a variety of ways to form networks. These networks have the capacity to learn, memorize and create relationships amongst data. ANN is an information-processing paradigm, implemented in hardware or software that is modeled after the biological processes of the brain. An ANN is made up of a collection of highly interconnected nodes, called neurons or processing elements. A node receives weighted inputs from other nodes, sums these inputs, and propagates this sum through a function to other nodes. This process is analogous to the actions of a biological neuron. An ANN learns by example.
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