The Relationship Between Neural Networks And Stock Market Predictions

It is rightly proclaimed that “there are patterns are in everything.” so does apply in symmetry in between the “human brain neurons and it’s simulation in artificial neural network”. ANN is just simply the software implementations of the neuronal structures of our brains. Now the neural network in our ideological brains “made of star dust” is a hugely interconnected network of neurons, just like the interconnection between the galaxies and the universe of observable homo-species, like ANN are the simulation of the observable neural network of our brain. Now, on technical terms neural networks are attempted to mimic and learn about given specific task on the basis of the weighted input and to provide specific output. The Artificial neural network is basically divided into “supervised and unsupervised neural network”. The working model of neural networks is based on the connections. Neural networks learn repeatedly by taking certain input and by application of “activation function “. Learning occurs by repeatedly activating certain neural connections over others, and this reinforces the connections. Neural networks are finding many applications in various industries like beating players in certain games and one of its major applications come in “stock market predictions”, and pattern recognition is also one of its major areas of work. This paper introduces an audit of the neural network and stock market, and its fundamentals, concise history of neural network, about its origin, certain concepts, and its use in stock market world.