Neural Networks are interesting for quite a lot of very different people:

• Computer scientists want to find out about the properties of non-symbolic INFORMATION processing with neural nets and about learning systems in general.
• Statisticians use neural nets as flexible, nonlinear regression and classification models.
• Engineers of many kinds exploit the capabilities of neural networks in many areas, such as signal processing and automatic control.
• Cognitive scientists view neural networks as a possible apparatus to describe models of thinking and consciousness (High-level brain function).
• Neuro-physiologists use neural networks to describe and explore medium-level brain function (e.g. memory, SENSORY system, motorics).
• Physicists use neural networks to model phenomena in statistical mechanics and for a lot of other TASKS.
• Biologists use Neural Networks to interpret nucleotide sequences.
• Philosophers and some other people MAY also be interested in Neural Networks for various reasons.

Neural Networks are interesting for quite a lot of very different people: