• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.939-941
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• 1999

Recognition rates of 3-D underwater object using the SCL neural network and the SOFM neural network were 91.8% and 95.9%, respectively.

• 제어로봇시스템학회:학술대회논문집
• /
• 2002.10a
• /
• pp.103.3-103
• /
• 2002

1. Introduction 2. Dynamic Model of Stacking Crane 3. The Path Plan of Stacking Crane 4. Design of Neural Network Predictive PID Controller 5. Result of Computer Simulation and Investigation 5. Conclusion

• 제어로봇시스템학회:학술대회논문집
• /
• 2002.10a
• /
• pp.54.4-54
• /
• 2002

1.Introduction 2. Channel Equalizer Using Adaptive Neural Network 3. Data Modulation and Demodulation Using Haar Transform 4. Binary Signal Transmission Using Haar Transform 5. Conclusion

• 제어로봇시스템학회:학술대회논문집
• /
• 2002.10a
• /
• pp.37.4-37
• /
• 2002

$\textbullet$ Feature extraction method for robot application $\textbullet$ Using ultrasonic sensor arrays $\textbullet$ Differentiate the target as plane, corner and edge $\textbullet$ Neural network approach

• 제어로봇시스템학회:학술대회논문집
• /
• 2002.10a
• /
• pp.89.4-89
• /
• 2002

$\textbullet$ Field Programmable Gate Array $\textbullet$ flexible hardware $\textbullet$ neural network $\textbullet$ determinism learning $\textbullet$ multi-valued logic $\textbullet$ disjunctive normal form $\textbullet$ multi-dimensional exclusive OR

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1996.04a
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• pp.737-740
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• 1996

This paper suggests a boltzman machine neural network model to determine model input sequences in line balancing process of mixed model assembly line. We first present a proper energy function, next determine the value of parameters using simulation process.

• 제어로봇시스템학회:학술대회논문집
• /
• 1992.10a
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• pp.628-631
• /
• 1992

The position control for DC motor under the unpredictable load variations is presented. Neural network controller trained to deal with this problem provide the estimates of system parameters. Pole placement is also performed in accordance with them. The proposed method is validated through computer simulation.

• 제어로봇시스템학회:학술대회논문집
• /
• 1990.10b
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• pp.1256-1258
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• 1990

A large number of trainings are requested for the artificial neural network using the backpropagation algorithm. It is shown that one dimensional search technique is effective to reduce the number of trainings through some numerical simulations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1991.10a
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• pp.303-304
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• 1991

• Journal of the Chungcheong Mathematical Society
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• v.35 no.1
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• pp.39-52
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• 2022

We introduce Clifford-valued neural networks with leakage delays. Furthermore, we study the uniqueness and existence of Clifford-valued Hopfield artificial neural networks having the Stepanov weighted pseudo almost periodic forcing terms on leakage delay terms. However the noncommutativity of the Clifford numbers' multiplication made our investigation diffcult, so our results are obtained by decomposing Clifford-valued neural networks into real-valued neural networks. Our analysis is based on the differential inequality techniques and the Banach contraction mapping principle.