While von Neumann machines are based on the processing/memory abstraction of human information processing, neural networks are based on the parallel architecture of animal brains. Also known as artificial neural network, which are composed of artificial neurons or nodes.
Biological neural networks are made up of real biological neurons that are connected or functionally-related in the peripheral nervous system or the central nervous system. Artificial neural networks are made up of interconnecting artificial neurons (usually simplified neurons) which may share some properties of biological neural networks. Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving traditional artificial intelligence tasks without necessarily attempting to model a real biological system.
Neural networks are a form of multiprocessor computer system, with
- simple processing elements
- a high degree of interconnection
- simple scalar messages
- adaptive interaction between elements
- In process control:
- Newcastle University Chemical Engineering Department is working with industrial partners (such as Zeneca and BP) in this area.
- In monitoring:
- networks have been used to monitor
- the state of aircraft engines. By monitoring vibration levels and sound, early warning of engine problems can be given.
- British Rail have also been testing a similar application monitoring diesel engines.
A simple neural network architecture illustrated below:
Neural Network algorithms
GANN - Genetic Algorithm Neural Network
The project serves to identify regulatory region found in gene and protein in order to find search for important DNA sequence that contains structural properties and specific protein-binding sites. So that we can predict the functions and models.
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