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ORCIDRichard Stuart Neville
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2010 – 2019
- 2014
[c9]Hassan A. Bashir
, Richard Stuart Neville:
Global optimization with derivative-free, derivative-based and evolutionary algorithms. SMC 2014: 100-105- 2013
- [i1]Hassan A. Bashir, Richard Stuart Neville:
Hybrid Evolutionary Computation for Continuous Optimization. CoRR abs/1303.3469 (2013) - 2012
- [c8]Hassan A. Bashir, Richard Stuart Neville:
A hybrid evolutionary computation algorithm for global optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c7]Hassan A. Bashir, Richard Stuart Neville:
Convergence measurement in evolutionary computation using Price's theorem. IEEE Congress on Evolutionary Computation 2012: 1-8
2000 – 2009
- 2008
- [j7]Richard Stuart Neville:
Third-order generalization: A new approach to categorizing higher-order generalization. Neurocomputing 71(7-9): 1477-1499 (2008) - 2007
- [j6]Alistair G. Sutcliffe, Wei-Chung Chang, Richard Stuart Neville:
Applying Evolutionary Computing to Complex Systems Design. IEEE Trans. Syst. Man Cybern. Part A 37(5): 770-779 (2007) - 2006
- [j5]Richard Stuart Neville:
Reuse of information in multi-layer sigma-pi neural networks. Connect. Sci. 18(1): 43-59 (2006) - [c6]Richard Stuart Neville:
A hardware implementation of Multi-level Threshold Logic for Artificial Neural Net. IJCNN 2006: 2845-2851 - 2005
- [c5]Richard Stuart Neville:
Information reuse and integration in artificial neural networks. IRI 2005: 368-373 - 2004
- [c4]Richard Stuart Neville:
Second-order generalization. IJCNN 2004: 949-954 - 2003
- [c3]Richard Stuart Neville:
Inheritance of information in multi-layer sigma-pi neural networks. IJCNN 2003: 1120-1125 - 2002
- [j4]Richard Stuart Neville, Stephen E. Eldridge:
Transformations of sigma-pi nets: obtaining reflected functions by reflecting weight matrices. Neural Networks 15(3): 375-393 (2002) - 2000
- [j3]Richard Stuart Neville, T. John Stonham, Ray J. Glover:
Partially pre-calculated weights for the backpropagation learning regime and high accuracy function mapping using continuous input RAM-based sigma-pi nets. Neural Networks 13(1): 91-110 (2000)
1990 – 1999
- 1997
- [c2]Richard Stuart Neville:
Partially Precalculated Weights for Backpropagation Training of RAM-Based sigma-pi Nets. SCAI 1997: 260-266 - 1996
- [j2]Richard Stuart Neville, T. John Stonham:
Adaptive critic for sigma-pi networks. Neural Networks 9(4): 603-625 (1996) - 1995
- [c1]Richard Stuart Neville, Ray J. Glover, T. John Stonham:
Evaluation of training and mapping Sigma-pi networks to a massively parallel processor. ICNN 1995: 1042-1047 - 1994
- [j1]Richard Stuart Neville, T. John Stonham:
Adaptive associative reward-penalty algorithms for sigma-pi networks. Neural Parallel Sci. Comput. 2(2): 141-164 (1994) - 1993
- [b1]Richard Stuart Neville:
Augmentation of sigma-pi structures and learning regimes. Brunel University London, UK, 1993
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