what are the 3 components of a neural network 
all neural networks have three main components first the input is the data entered into the network that is to be analyzed second the processing layer utilizes the data and prior knowledge of similar data sets to formulate an expected outcome that outcome is the third component and this third component is the desired end product from the analysis 1the bottom lineneural networks are complex integrated systems that can perform analytics much deeper and faster than human capability there are different types of neural networks often best suited for different purposes and target outputs in finance neural networks are used to analyze transaction history understand asset movement and predict financial market outcomes 