In his papers, Ah Chung Tsoi integrates diverse fields, such as Artificial neural network and Gradient descent. Ah Chung Tsoi connects Gradient descent with Artificial neural network in his research. His Control (management) study frequently draws connections to adjacent fields such as Artificial intelligence. His Artificial intelligence study frequently draws parallels with other fields, such as Control theory (sociology). His Control theory (sociology) study typically links adjacent topics like Control (management). In his works, Ah Chung Tsoi performs multidisciplinary study on Control engineering and Feed forward. While working in this field, Ah Chung Tsoi studies both Feed forward and Control engineering. He integrates many fields, such as Function (biology) and Evolutionary biology, in his works. He performs multidisciplinary study in the fields of Evolutionary biology and Function (biology) via his papers.
His work often combines Artificial intelligence and Software engineering studies. Ah Chung Tsoi combines Software engineering and Artificial intelligence in his research. In his research, Ah Chung Tsoi undertakes multidisciplinary study on Artificial neural network and Gradient descent. Ah Chung Tsoi incorporates Gradient descent and Artificial neural network in his research. His Control (management) study frequently links to related topics such as Control theory (sociology). Control theory (sociology) connects with themes related to Control (management) in his study. He merges Mathematical analysis with Applied mathematics in his study. In his works, Ah Chung Tsoi undertakes multidisciplinary study on Applied mathematics and Mathematical analysis. Ah Chung Tsoi integrates many fields, such as Algorithm and Machine learning, in his works.
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The Graph Neural Network Model
F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner.
IEEE Transactions on Neural Networks (2009)
Face recognition: a convolutional neural-network approach
S. Lawrence;C.L. Giles;Ah Chung Tsoi;A.D. Back.
IEEE Transactions on Neural Networks (1997)
Universal approximation using feedforward neural networks: a survey of some existing methods, and some new results
Franco Scarselli;Ah Chung Tsoi.
Neural Networks (1998)
Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference
C. Lee Giles;Steve Lawrence;Ah Chung Tsoi.
Machine Learning (2001)
Classification of EEG signals using the wavelet transform
Neep Hazarika;Jean Zhu Chen;Ah Chung Tsoi;Alex Sergejew.
Signal Processing (1997)
Locally recurrent globally feedforward networks: a critical review of architectures
Ah Chung Tsoi;A.D. Back.
IEEE Transactions on Neural Networks (1994)
What Size Neural Network Gives Optimal Generalization? Convergence Properties of Backpropagation
Steve Lawrence;C. Lee Giles;Ah Chung Tsoi.
(1998)
Lessons in neural network training: overfitting may be harder than expected
Steve Lawrence;C. Lee Giles;Ah Chung Tsoi.
national conference on artificial intelligence (1997)
Fir and iir synapses, a new neural network architecture for time series modeling
A. D. Back;A. C. Tsoi.
Neural Computation (1991)
Incremental training of support vector machines
A. Shilton;M. Palaniswami;D. Ralph;Ah Chung Tsoi.
IEEE Transactions on Neural Networks (2005)
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