hopfield


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hopfield

(ˈhɒpˌfiːld)
n
a field in which hops are grown
Translations
References in periodicals archive ?
When the Hopfield neural network converges successfully, channel scheduling with no conflict and low time delay can be achieved.
According to the work in [11], the coefficients of the Fourier expansion can be learned by a Hopfield neural network.
Among the topics are optical network optimization, monitoring devices for providing network intelligence in optical packet switched networks, energy efficient optical transport networks with mixed regenerator placement, topological design genetic algorithms, wavelength and routing assignment in all-optical networks using ant colony optimization, and Hopfield neural networks for routing in communication networks.
In their well-known paper Hopfield and Tank [10] introduced an analog neural network (known as the HNN) suitable for solving different constrained and computationally hard optimization problems--among others the well-known TSP problem.
The detection of lung cancer by using sputum color images was introduced in [9] where the authors presented unsupervised classification technique based on Hopfield Neural Network (HNN) to segment the sputum cells into cancer and non cancer cells to be used in the diagnosis process.
Nixon, "Super-resolution land cover pattern prediction using a Hopfield neural network," Remote Sensing of Environment,vol.79, no.1, pp.1-14, 2002.
Song, "L2 -LM filtering for time-delayed switched hopfield neural networks," International Journal of Innovative Computing, Information and Control, vol.
Editorial assistance was provided by Samantha Hopfield, Editorial Director of Anatomy Publishing Partners, and was funded by Fresenius Kabi.
Having shown that feed-forward networks could only perform tasks they were repetitively trained to do, we then introduced the principles of the Hopfield network, a simple model of memory that allows unsupervised learning.
Using improved Hopfield network, the above problem could be mapped to a dynamic circuit, and its solution may be obtained within circuit time-constant [2].
An ANN is an information processing paradigm that is inspired by the behavior of biological nervous systems such as the human brain (McCulloch and Pitts, 1943; Hebb, 1949; Rosenblatt, 1958; Minsky and Papert, 1969; Grossberg, 1976; Hopfield, 1982).
Despues de varios anos de recesion en el desarrollo de las ANNs, John Hopfield (1982) mostro que tienen el potencial para una operacion exitosa, y propuso como podria ser desarrollado, esto marco el reinicio de las investigaciones en este campo.