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Sam Hill: Kohonen Neural Networks - Example Network [Back to Home] |
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Sam Hill: Kohonen Neural Network Simulation The applet below is a demonstration of how the Kohonen Neural Network operates. The Kohonen Neural Network is a developemnt of the "percepton" network developed by Rosenblatt in 1962.Both networks make use of artificial neurons which are electrical simulations of biological ones - the core component of a brain. These artificial neurons are mathematical abstractions and aim to emulate the functionality of the neurons through computational code, this artificial abstraction is often termed neuro-computing, this term is used since neuro-computing is fundamentally different to digital computing. Neurons are what makes a brain a much more powerful processor than a computer, this is because by careful organisation of the neurons, the brain can operate much more efficiently than the most powerful of today’s computers. A neuron on its own is an incredibly simple object. It is made up of an input, and operator and an output in its basic form. About: Continues in depth here... |