7# CTG Structur Neural Networks Model
Neural networks are data analysis methods that consist of a large number of processing units that are linked together by weighted probabilities.
In more simple terms, neural networks are a model loosely resembling the way that the human brain works and learns. They’re often used in Forex market prediction software because the network can be trained to interpret data and draw a conclusion from it.
Before they can be of any use in making Forex predictions, neural networks have to be ‘trained’ to recognize and adjust for patterns that arise between input and output. The training and testing can be time consuming, but is what gives neural networks their ability to predict future outcomes based on past data. The basic idea is that when presented with examples of pairs of input and output data, the network can ‘learn’ the dependencies, and apply those dependencies when presented with new data.
Here is presented the CTG an example of Neural Neural Networks model.We do not like neural networks methods for forex market because offers more entry point. This is not good for traders.
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