The Design of Logic Circuit by Neural Network
| Autor: | Chih-Kang Kung, 龔志剛 |
|---|---|
| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 Recently, due to the fast growth of IC manufacturing technology, logic circuit design of the programmable logic array has become one popular subject in this area. Therefore, the intelligent evolutionary method of logic circuit design has attached the importance increasingly in this field day by day. In traditional methods, the frameworks of evolutionary logic circuit design method are mostly based on the random circuit matrix. Such random setting way not only makes the circuit design process be complicated, but also has the difficulty in finding the exact solution. Moreover, with the enlargement of the circuit framework, more computation time is certainly needed. This is also a big problem existing in the traditional design methods. In this thesis, a new type of circuit design method is proposed. In our studies, all basic logic units are modeled by neural networks firstly, then the similar structure of Multiplexer is used to as the route of unit connection. The particle swarm optimal algorithm is used to find the proper route of the circuit units. From the simulation results shown, the method we proposed not only can increase the accuracy of circuit design, but also has the faster computation time in comparison with traditional methods. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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