원문정보
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초록
영어
Real biological neuron is an electrically excitable cell that processes and transmits information by electrical and chemical signaling in human body. Each neurons receive electrical and chemical signal from other neurons, and then send signals to other neurons. An artificial neural network is a mathematical model or computational model that is inspired by the structure and functional aspects of biological neural networks. I tried to figure out the principle of the artificial neural network, and demonstrate a realistic model using it. In addition, I tried to apply an artificial model to solve various problems.
목차
ABSTRACT
1. PURPOSE OF RESEARCH
2. RESEARCH METHODS
2.1. Figure out the specific principle and algorithm of the perceptron
2.2. Train a perceptron to solve the given problem
3. RESULTS
3.1. Learning Process
3.2. Backpropagation Algorithm
3.3. Training and Testing
4. PROSPECT
5. REFERENCES
1. PURPOSE OF RESEARCH
2. RESEARCH METHODS
2.1. Figure out the specific principle and algorithm of the perceptron
2.2. Train a perceptron to solve the given problem
3. RESULTS
3.1. Learning Process
3.2. Backpropagation Algorithm
3.3. Training and Testing
4. PROSPECT
5. REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보