STATA Help Provides General Information About Neural Networks
Prior to talking about neural networks let’s clarify what they are. Basically, there are two types of neural networks – biological and artificial. Biological neural network is a network which is made up of real biological neurons interconnected and functionally related to each other and separated on their ability to perform a specific physiological function. Unlike them, artificial neural network is composed of interconnecting artificial neurons (software and hardware that mimics properties of biological neurons and which is used to solve artificial intelligence problems without a model of a real biological system).
For the last few years neural networks technology is being applied in finance, engineering, medicine, geology, physics, etc to predict, classify or control certain parameters. According to STATA Help, there are a few key factors that contribute to success of neural networks: power (they are capable of modeling extremely complex functions), ease and convenience of use (neural networks learn by examples). Besides that, neural networks are intuitively appealing and very helpful.
STATA Help Tells About Applications For Neural Networks
According to STATA Help, neural networks can be applied in virtually any situation in which there is a certain relationship between the predictor and predicted variables. First of all, neural networks can be used to detect medical phenomena (onset of a medical condition, etc). Also, they can be used to predict stock market fluctuations, to assess risk of credits, to monitor condition of machinery, etc. As you can see, neural networks are very useful and STATA Help can provide you with assistance related to neural networks. Our statisticians have learned everything about neural networks and can assist you with any task, related to them. Also, feel free to contact our customer service representatives if you have some questions and we will provide you with adequate answers.