Clustering using neural networks

Using Counter Propagation Neural Network for Building Intellectual Decision Support Systems

Figure 1. DSS structure This is one of my articles about neural networks published in Latvia in 2006. I hope someone may find it useful.

Computer Modeling and New Technologies, 2006, Vol.10, No.4, 66–69
Transport and Telecommunication Institute, Lomonosova 1, Riga, Latvia

As a rule complex modern manufacture systems controlling makes their operators take important decisions what can be rather difficult when there are many alternatives. Such situations require developing and involving of automated intellectual decision support systems (DSS). Figure 2. DSS training Different approaches have been already developed in order to help operator with taking correct decisions. Each has its advantages and disadvantages.

This work presents a new approach to building decision support systems based on modified counter propagation neural network. Figure 3. An example of recognition classes containers forming. Intellectual self-training automatic control systems and intellectual self-training decision support systems allow going from old subjective methods of manual control to up-to-date intellectual controlling technologies for badly formalized processes and objects functioning under uncertain conditions.

Keywords: automatic intellectual decision support systems

1. Goal

The developed system is supposed to be able to recognize current state of a controlled process/object giving the related instructions regarding the further control influence. The system must be capable of self-training while being utilized even on small data sets. The system must store data it receives for after-training.

Source: Andrey's Blog

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