Richard Coggins

	2005
10		Weidong Zhou, Richard Coggins: A Biologically Inspired Hierarchical Reinforcement Learning System. Cybernetics and Systems 36(1): 1-44 (2005)
	2004
9		Adam Blazejewski, Richard Coggins: Application of self-organizing maps to clustering of high-frequency Financial data. ACSW Frontiers 2004: 85-90
8		Weidong Zhou, Richard Coggins: Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments. BioADIT 2004: 80-94
	2003
7		Weidong Zhou, Richard Coggins: Emotion-based Hierarchical Reinforcement Learning. HIS 2003: 951-960
6		Kevin Lo, Richard Coggins: Intraday Analysis of Portfolios on the ASX Using ICA. IDEAL 2003: 934-938
	2002
5		Weidong Zhou, Richard Coggins: Computational Models of the Amygdala and the Orbitofrontal Cortex: A Hierarchical Reinforcement Learning System for Robotic Control. Australian Joint Conference on Artificial Intelligence 2002: 419-430
	2001
4		Bailing Zhang, Richard Coggins, Marwan A. Jabri, Dominik R. Dersch, Barry Flower: Multiresolution forecasting for futures trading using wavelet decompositions. IEEE Transactions on Neural Networks 12(4): 765-775 (2001)
	1998
3		Richard Coggins, Raymond J. Wang, Marwan A. Jabri: A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser. NIPS 1998: 671-677
	1994
2		Richard Coggins, Marwan A. Jabri, Barry Flower, Stephen Pickard: ICEG Morphology Classification using an Analogue VLSI Neural Network. NIPS 1994: 731-738
	1993
1		Richard Coggins, Marwan A. Jabri: WATTLE: A Trainable Gain Analogue VLSI Neural Network. NIPS 1993: 874-881

Coauthor Index

1	Adam Blazejewski	[9]
2	Dominik R. Dersch	[4]
3	Barry Flower	[2] [4]
4	Marwan A. Jabri	[1] [2] [3] [4]
5	Kevin Lo	[6]
6	Stephen Pickard	[2]
7	Raymond J. Wang	[3]
8	Bailing Zhang	[4]
9	Weidong Zhou	[5] [7] [8] [10]

Colors in the list of coauthors

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