Non-Volatile memory device apply in neural network
| Autor: | Yueh-Lin Chiang, 蔣岳霖 |
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| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 The artificial neural network simulates the operation of the human brain. It is applied extensively in audio processing and pattern recognition. With the advancement of technology, hardware portability is becoming indispensable nowadays. This thesis uses the 0.25um CMOS foundry technology to implement the 4x3 NOI array neural network and perceptron algorithms with an IC tester to verify and train the circuit. In this thesis, six input patterns were used for the learning algorithm in these NOI synapses. During the training process, the output signals were supervised and compared to the target by updating NOI synapse weights until the system converges. Initially, we measured the circuit and device data to establish their empirical models and embedded them in the software to simulate the neural network. In the simulation, we discussed the input, judgment and stress time, found the best parameter for the system and discussed the reasons why some results fail to converge. Finally, we verified the simulation result through hardware training, and the results show that the simulation training trend is similar to hardware training. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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