Neural+networks

= Neural networks =

The current technology for this is only in its infancy. Nothing to do with computer networks, ** neural networks ** try to mimic the way that the human brain works (neurons, synapses etc). Work on neural networks is being carried out in the field of image analysis, pattern analysis, financial trends etc.

Neural networks are named after the cells in the human brain that perform intelligent operations. The brain is made up of billions of neuron cells. Each of these cells is like a tiny computer with extremely limited capabilities; however, connected together, these cells form the most intelligent system known. Neural networks are formed from hundreds or thousands of simulated neurons connected together in much the same way as the brain's neurons.

Just like people, neural networks learn from experience, not from programming. Neural networks are good at pattern recognition, generalization, and trend prediction. They are fast, tolerant of imperfect data, and do not need formulas or rules. Neural networks are trained by repeatedly presenting examples to the network. Each example includes both inputs (information you would use to make a decision) and outputs (the resulting decision, prediction, or response).

Your network tries to learn each of your examples in turn, calculating its output based on the inputs you provided. If the network output doesn't match the target output, BrainMaker corrects the network by changing its internal connections. This trial-and-error process continues until the network reaches your specified level of accuracy. Once the network is trained and tested, you can give it new input information, and it will produce a prediction. Designing your neural network is largely a matter of identifying which data is input, and what you want to predict, assess, classify, or recognize. Source: http://www.calsci.com/whatare.html

http://link.springer.com/chapter/10.1007%2F978-1-4615-2736-7_11
 * Aspirin ** is a language used in neural networks (Using a ** MIGRAINES ** interface!).