Neural Networks and financial Market
Article by sacha tarkovsky
Today, we are seeing the increasing use of neural networks in financial markets to help forecast prices with greater accuracy and the complexity and research is mind boggling. This article will look at the use of neural networks in financial trading and their profit potential.
The Human Brain V Computers
The human brain is one of the most complex objects if not the most complex object known to man. It is not just its superior processing speed and storage space that make it extraordinary, but more importantly, its ability to learn and adapt.
Neural Networks Defined
Computer scientists have tried to write software that allows computers to mimic the learning power of the brain (computers already have superior storage and processing speed) and neural networks aim to help a computer learn and adapt.
A neural network is essentially a system of programs and data structures that approximates the operation of the human brain. A neural network consists of a large number of processors operating in parallel, each with its own sphere of knowledge and access to its own databank.
A neural network is “trained” by being given large amounts of data and a set of rules.
A computer program can then tell the network how to react in response to an external event and initiate reactions based on the knowledge it has access to.
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