Grech-Cini E. Locating Facial Features. Ph.D Dissertation. Berkshire, UK: University of Reading. Department of Cybernetics, 1995
[2]
Beattie P. The Design and Implementation of a Focused Stochastic Diffusion Networks to Solve the Self-Location Problem on an Autonomous Wheelchair. Ph.D Dissertation. Berkshire, UK: University of Reading. Department of Cybernetics, 2000
[3]
Bishop J M. A Hybrid Network for Feature Extraction [EB/OL]. [2007-01-01]. http://www.cirg.reading.ac.uk/SDP/Download/INNC90.pdf
[4]
Beattie P D, Bishop J M. Self-Localisation in the Senario Autonomous Wheelchair. Journal of Intelligent and Robotic Systems, 1998, 22(3/4): 255-267
[5]
Hurley S, Whitaker R M. An Agent Based Approach to Site Selection for Wireless Networks // Proc of the ACM Symposium on Applied Computing. Madrid, Spain, 2002: 574-577
[6]
Nasuto S J, Bishop J M. Neural Stochastic Diffusion Search Network-A Theoretical Solution to the Binding Problem // Proc of the 2nd Conference of the Association for the Scientific Study of Consciousness. Bremen, Germany, 1998: 19-20
[7]
Nasuto S J, Dautenhahn K, Bishop J M. Communication as an Emergent Metaphor for Neuronal Operation // Nehariv C L, ed. Lecture Notes in Artificial Intelligence. Cambridge, USA: Springer-Verlag, 1999, 1562: 365-380
[8]
de Meyer K, Bishop J M, Nasuto S J. Attention through Self-Synchronisation in the Spiking Neuron Stochastic Diffusion Network. Consciousness and Cognition, 2000, 9(2): 97-98
[9]
Colorni A, Dorigo M, Maniezzo V. Distributed Optimization by Ant Colonies // Proc of the 1st European Conference on Artificial Life. Paris, France, 1991: 134-142
[10]
Kennedy J, Eberhart R C. Particle Swarm Optimization // Proc of the IEEE International Conference on Neural Networks. Piscataway, USA, 1995: 1942-1948
[11]
de Meyer K, Nasuto S J, Bishop J M. Stochastic Diffusion Search: Partial Function Evaluation in Swarm Intelligence Dynamic Optimisation // Abraham A, Grosam C, Ramos V, eds. Stigmergic Optimization, Studies in Computational Intelligence Series. Cambridge, USA: Springer-Verlag, 2006, 31: 185-207
[12]
Bishop J M. Anarchic Techniques for Pattern Classification. Ph.D Dissertation. Berkshire, UK: University of Reading. Department of Cybernetics, 1989
[13]
Nasuto S J, Bishop J M, Lauria S. Time Complexity Analysis of the Stochastic Diffusion Search // Proc of the International ICSC/IFAC Symposium on Neural Computation. Vienna, Austria, 1998: 260-266
[14]
Bishop J M, Torr P. The Stochastic Search Network // Linggard R, Myers D J, Nightingale C, eds. Neural Networks for Images, Speech and Natural Language. New York, USA: Chapman & Hall, 1992: 370-387
[15]
de Meyer K. Foundation of Stochastic Diffusion Search. Ph.D Dissertation. Berkshire, UK: University of Reading. Department of Cybernetics, 2004
[16]
Nasuto S J, Bishop J M. Convergence Analysis of Stochastic Diffusion Search. Journal of Parallel Algorithms and Applications,1999, 14(2): 89-107
[17]
Myatt D R, Bishop J M, Nasuto S J. Minimum Stable Convergence Criteria for Stochastic Diffusion Search. Electronic Letters, 2004, 40(2): 112-113
[18]
Jones D. Constrained Stochastic Diffusion Search [EB/OL]. [2007-01-01]. http://www.cyber.reading.ac.uk/CIRG/SDP/Download/djonesscarp2002.ps
[19]
Nasuto S J. Resource Allocation Analysis of the Stochastic Diffusion Search. Ph.D Dissertation. Berkshire, UK: University of Reading. Department of Cybernetics, 1999
[20]
Bonabeau E, Dorigo M, Theraulaz G. Inspiration for Optimization from Social Insect Behaviour. Nature, 2000, 406(6): 39-42
[21]
de Meyer K, Bishop J M, Nasuto S J. Stochastic Diffusion: Using Recruitment for Search [EB/OL]. [2007-01-01]. http://www.cirg.reading.ac.uk/SDP/Download/Cica03.pdf
[22]
de Meyer K, Bishop J M, Nasuto S J. Small-World Effects in Lattice Stochastic Diffusion Search // Proc of the International Conference on Artificial Neural Networks. Madrid, Spain, 2002: 147-152
