Circuit topology selection based on neural networks

One of the important tasks in designing analog circuits is to select the most appropriate circuit topology from available knowledge base. The purpose of this paper is to develop a new tool for electronic circuit topology selection based on a neural network. The main advantages of this approach are: the system requires less designer´s experience and it is capable of automatic incorporation of a new circuit topology into the system with little modification. Some circuit topology selection examples are shown