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ORCIDAndrew I. Hanna
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2000 – 2009
- 2003
[j6]Andrew I. Hanna, Danilo P. Mandic:
On "an improved approach for nonlinear system identification using neural networks". J. Frankl. Inst. 340(5): 363-370 (2003)- [j5]Andrew I. Hanna, Danilo P. Mandic:
A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. Neural Networks 16(2): 155-159 (2003) - [j4]Andrew I. Hanna, Danilo P. Mandic:
A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters. Neural Process. Lett. 17(1): 85-91 (2003) - [j3]Andrew I. Hanna, Danilo P. Mandic:
A fully adaptive normalized nonlinear gradient descent algorithm for complex-valued nonlinear adaptive filters. IEEE Trans. Signal Process. 51(10): 2540-2549 (2003) - [c4]Andrew I. Hanna, Ian Yates, Danilo P. Mandic:
Analysis of the class of complex-valued error adaptive normalised nonlinear gradient descent algorithms. ICASSP (2) 2003: 705-708 - 2002
- [j2]Andrew I. Hanna, Danilo P. Mandic:
Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity. IEEE Signal Process. Lett. 9(8): 253-255 (2002) - [c3]Andrew I. Hanna, Danilo P. Mandic:
A normalised complex backpropagation algorithm. ICASSP 2002: 977-980 - [c2]Danilo P. Mandic, Andrew I. Hanna, Dai I. Kim:
A general adaptive normalised nonlinear-gradient descent algorithm for nonlinear adaptive filters. ICASSP 2002: 1353-1356 - [c1]Woon Chong Siaw, Su Lee Goh, Andrew I. Hanna, Christos Boukis, Danilo P. Mandic:
Fully adaptive neural nonlinear FIR filters. NNSP 2002: 279-288 - 2001
- [j1]Danilo P. Mandic, Andrew I. Hanna, Moe Razaz:
A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size. IEEE Signal Process. Lett. 8(11): 295-297 (2001)
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