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Browsing by Author "Adams, R.G."
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Evolutionary neural topiary: growing and sculpting artifical neurons to order
Rust, A.G.; Adams, R.G.; Bolouri, H. (2000) -
Evolved patterns of connectivity in associative memory models
Adams, R.G.; Calcraft, L.; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2006) -
Evolving computational neural systems using synthetic developmental mechanisms
Adams, R.G.; Rust, A.G.; Schilstra, M.; Bolouri, H. (Elsevier, 2003)Biological development is highly complex, beginning with an egg and resulting in a complete living organism (Purves and Lichtman, 1985). Development is essentially sequential, establishing a gross structure which becomes ... -
Evolving high capacity associative memories with efficient wiring
Adams, R.G.; Calcraft, L.; Davey, N. (2005) -
A Finite State Automation Model for Multi-Neuron Simulations
Schilstra, M.; Rust, A.G.; Adams, R.G.; Bolouri, H. (2002) -
Gaussian and Exponential Architectures in Small-World Associative Memories
Calcraft, L.; Adams, R.G.; Davey, N. (2006)The performance of sparsely-connected associative memory models built from a set of perceptrons is investigated using different patterns of connectivity. Architectures based on Gaussian and exponential distributions are ... -
HARP: A Parallel Pipelined RISC Processor
Steven, G.B.; Gray, S.M.; Adams, R.G. (1989)HARP (the Hatfield RISC processor) is a reduced instruction set processor being developed at Hatfield Polytechnic, UK. The major aim of the HARP project is to develop a RISC processor capable of a sustained instruction ... -
HARP: a statically scheduled multiple-instruction-issue architecture and its compiler
Adams, R.G.; Gray, S.M.; Steven, G.B. (University of Hertfordshire, 1994)This paper presents the results of an investigation into the performance of a new statically scheduled multiple-instruction-issue architecture and its compiler. HARP is a Long Instruction Word Architecture developed in ... -
HARP: a VLIW RISC processor
Findlay, P.; Trainis, S.A.; Steven, G.B.; Adams, R.G. (Institute of Electrical and Electronics Engineers (IEEE), 1991)HARP (The Hatfield Risc Processor) is a reduced instruction set processor being developed at Hatfield Polytechnic, UK. The major aim of the HARP project is to develop a VLIW (Very Long Instruction Word) RISC (Reduced ... -
Hierarchical Classification with a Competitive Evolutionary Neural Tree
Adams, R.G.; Butchart, K.; Davey, N. (1999)A new, dynamic, tree structured network, the Competitive Evolutionary Neural Tree (CENT) is introduced. The network is able to provide a hierarchical classification of unlabelled data sets. The main advantage that the CENT ... -
Hierarchical growing neural gas
Doherty, K.; Adams, R.G.; Davey, N. (Springer Nature, 2005)This paper describes TreeGNG, a top-down unsupervised learning method that produces hierarchical classification schemes. TreeGNG is an extension to the Growing Neural Gas algorithm that maintains a time history of the ... -
Hierarchical topological clustering learns stock market sectors
Doherty, K.; Adams, R.G.; Davey, N.; Pensuwon, W. (Institute of Electrical and Electronics Engineers (IEEE), 2005)The breakdown of financial markets into sectors provides an intuitive classification for groups of companies. The allocation of a company to a sector is an expert task, in which the company is classified by the activity ... -
High Capacity Associative Memories and Connection Constraints
Davey, N.; Adams, R.G. (2004-03) -
High Capacity Associative Memories and Small World Networks
Davey, N.; Christianson, B.; Adams, R.G. (Institute of Electrical and Electronics Engineers (IEEE), 2004-07)Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast biological neural systems have predominantly local, non-symmetric connectivity. Here we investigate ... -
High capacity associative memories and stochasticity
Davey, N.; Adams, R.G. (2002)Stochastic Dynamics -
High capacity associative memory models - binary and bipolar representation
Davey, N.; Frank, R.; Hunt, S.; Adams, R.G.; Calcraft, L. (2004) -
High capacity associative memory with bipolar and binary, biased patterns
Chen, W.; Adams, R.G.; Calcraft, L.; Davey, N.; Steuber, Volker (2007)The high capacity associative memory model is interesting due to its significantly higher capacity when compared with the standard Hopfield model. These networks can use either bipolar or binary patterns, which may also ... -
High Capacity Recurrent Associative Memories
Davey, N.; Hunt, S.; Adams, R.G. (2004-12) -
High Capacity, Small World Associative Memory Models
Davey, N.; Calcraft, L.; Adams, R.G. (2006) -
High performance associative memory models and sign constraints
Davey, N.; Adams, R.G. (2001)The consequences of imposing a sign constraint on the standard Hopfield architecture associative memory model, trained using perceptron like learning rules, is examined. Such learning rules have been shown to have capacity ...