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ORCIDTrevor G. Clarkson
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2000 – 2009
- 2002
[j10]Chris Christodoulou
, Guido Bugmann, Trevor G. Clarkson:
A spiking neuron model: applications and learning. Neural Networks 15(7): 891-908 (2002)- 2001
- [j9]Trevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor:
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Trans. Syst. Man Cybern. Syst. 31(1): 65-76 (2001) - [c8]Nawaz Khan, Shahedur Rahman, Trevor G. Clarkson:
An Approach to Develop Human Gene Disorder Database for Intelligent Variance Analysis of Genes and its Products. DEXA Workshop 2001: 301-305 - 2000
- [j8]Francesco Balestrieri, Pantelis L. Panteli, Vasillios Dionissopoulos, Trevor G. Clarkson:
ATM connection admission control using pRAM based artificial neural networks. Comput. Networks 34(1): 49-63 (2000) - [c7]Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann:
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. IJCNN (3) 2000: 115-120
1990 – 1999
- 1998
- [c6]Pantelis L. Panteli, Ioannis Balaskas, Trevor G. Clarkson:
Adaptive ATM network model for the evaluation of network performance. ICC 1998: 238-242 - 1996
- [c5]Nader Zein, Trevor G. Clarkson:
Performance of a coherent FH system with soft-decision Reed-Solomon decoding and space diversity over Rayleigh fading channel and in the presence of co-channel interference. PIMRC 1996: 761-765 - 1995
- [j7]Trevor G. Clarkson, John G. Taylor, Denise Gorse:
Response to letter by K. Gurney. Neural Networks 8(3): 491- (1995) - [j6]Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor:
pRAM nets for detection of small targets in sequences of infra-red images. Neural Networks 8(7-8): 1227-1237 (1995) - [j5]C. A. Papadopoulos, Trevor G. Clarkson:
Motion compensation using second-order geometric transformations. IEEE Trans. Circuits Syst. Video Technol. 5(4): 319-331 (1995) - [c4]Chris Christodoulou, Trevor G. Clarkson:
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled. IWANN 1995: 223-230 - [c3]Yelin Guan, Trevor G. Clarkson, John G. Taylor:
Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. IWANN 1995: 441-447 - 1994
- [j4]Yelin Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse:
Noisy reinforcement training for pRAM nets. Neural Networks 7(3): 523-528 (1994) - 1993
- [j3]Trevor G. Clarkson, Yelin Guan, John G. Taylor, Denise Gorse:
Generalization in probabilistic RAM nets. IEEE Trans. Neural Networks 4(2): 360-363 (1993) - [j2]Trevor G. Clarkson, Chi Kwong Ng, Yelin Guan:
The pRAM: an adaptive VLSI chip. IEEE Trans. Neural Networks 4(3): 408-412 (1993) - [c2]Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor:
The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN 1993: 465-470 - [c1]Trevor G. Clarkson, C. K. Ng:
Architectures for Self-Learning Neural Networks Modules. IWANN 1993: 471-475 - 1992
- [j1]Trevor G. Clarkson, Denise Gorse, John G. Taylor, C. K. Ng:
Learning Probabilistic RAM Nets Using VLSI Structures. IEEE Trans. Computers 41(12): 1552-1561 (1992)
Coauthor Index
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