Results 241 to 250 of about 1,504,339 (298)
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ACM SIGACT News, 1988
The brain is one of the most highly organized structures in the known universe. It is a biological computer which has evolved over a billion years to program, monitor and control all bodily functions. It is also the organ of knowing, feeling and thinking. To understand how the brain works is perhaps the most difficult of all scientific problems.
J D, Cowan, D H, Sharp
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The brain is one of the most highly organized structures in the known universe. It is a biological computer which has evolved over a billion years to program, monitor and control all bodily functions. It is also the organ of knowing, feeling and thinking. To understand how the brain works is perhaps the most difficult of all scientific problems.
J D, Cowan, D H, Sharp
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International Journal of Theoretical Physics, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zak, Michail, Williams, Colin P.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zak, Michail, Williams, Colin P.
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Neural Networks, 1995
Abstract We consider neural units whose response functions are Lorentzians rather than the usual sigmoids or steps. This consideration is justified by the fact that neurons can be paired and that a suitable difference of the sigmoids of the paired neurons can create a window response function. Lorentzians are special cases of such windows and we take
Bertrand Giraud +3 more
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Abstract We consider neural units whose response functions are Lorentzians rather than the usual sigmoids or steps. This consideration is justified by the fact that neurons can be paired and that a suitable difference of the sigmoids of the paired neurons can create a window response function. Lorentzians are special cases of such windows and we take
Bertrand Giraud +3 more
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Parallel Algorithms and Applications, 1997
This paper examines the structure of artificial neural networks (ANN) and the operation of their algorithms in order to identify the forms of parallelism that may be inherent in them. Parallelism within the topological structure of ANNs are seen to be of two forms: neuron and synapse.
David Al-Dabass +2 more
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This paper examines the structure of artificial neural networks (ANN) and the operation of their algorithms in order to identify the forms of parallelism that may be inherent in them. Parallelism within the topological structure of ANNs are seen to be of two forms: neuron and synapse.
David Al-Dabass +2 more
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IEEE Transactions on Neural Networks, 1991
Application of neural nets to invariant pattern recognition is considered. The authors study various techniques for obtaining this invariance with neural net classifiers and identify the invariant-feature technique as the most suitable for current neural classifiers.
Etienne Barnard, David P. Casasent
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Application of neural nets to invariant pattern recognition is considered. The authors study various techniques for obtaining this invariance with neural net classifiers and identify the invariant-feature technique as the most suitable for current neural classifiers.
Etienne Barnard, David P. Casasent
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1995
Although the issue of reliability is extensively discussed in the software engineering literature, it has received only limited attention in the Neural Computing community. In this paper, the software engineering concept of diversity is made use of to improve the performance of a neural net system solution to a problem of fault diagnosis in a marine ...
Amanda J. C. Sharkey +2 more
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Although the issue of reliability is extensively discussed in the software engineering literature, it has received only limited attention in the Neural Computing community. In this paper, the software engineering concept of diversity is made use of to improve the performance of a neural net system solution to a problem of fault diagnosis in a marine ...
Amanda J. C. Sharkey +2 more
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International Journal of Intelligent Systems, 1994
We suggest a description of thermodynamical systems, focusing on near-to-equilibrium states of the systems, within the structure of random graphs to map them to neural nets. We then use the component subgraph configurations of the random graphs that are the stationary states of the near-to-equilibrium systems to represent concepts in an unstructured ...
Khalid Md. Nor +4 more
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We suggest a description of thermodynamical systems, focusing on near-to-equilibrium states of the systems, within the structure of random graphs to map them to neural nets. We then use the component subgraph configurations of the random graphs that are the stationary states of the near-to-equilibrium systems to represent concepts in an unstructured ...
Khalid Md. Nor +4 more
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Biosystems, 1967
Abstract A mathematical apparatus is developed that deals with networks of elements which are connected to each other by well defined connection rules and which perform well defined operations on their inputs. The output of these elements either is transmitted to other elements in the network or — should they be terminal elements — represents the ...
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Abstract A mathematical apparatus is developed that deals with networks of elements which are connected to each other by well defined connection rules and which perform well defined operations on their inputs. The output of these elements either is transmitted to other elements in the network or — should they be terminal elements — represents the ...
openaire +2 more sources