Understanding Neural Network Regression A neural network is essentially a complex math function. The neural network input-output mechanism is illustrated in Figure 2. The figure shows a simple neural ...

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they ...

A neural network is a series of algorithms that seek to identify relationships in a data set via a process that mimics how the human brain works.

Some models, such as linear regression, are easily interpretable, but inflexible, in that they don't capture many real-world relationships accurately. Other models, such as neural networks, are quite ...