Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Hopfield network"”.
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On the analysis of the Hopfield network : a geometric approach
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.
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On the analysis of the Hopfield network : a geometric approach
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.
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An Enhanced Learning for Restricted Hopfield Networks
… developing a training method for Restricted Hopfield Network (RHN) which is a subcategory of Hopfield Networks. Hopfield Networks are recurrent neural networks proposed in 1982 by John Hopfield. They are useful for different applications such as pattern restoration, pattern …
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A Study of Three Artificial Neural Networks Models' Ability to Identify Emotions from Facial Images
… muscular actions. Previous artificial neural network-based approaches for classification of facial expressions focused on improving one particular neural network model for better accuracy. The purpose of this present study was to compare different artificial neural network models, and …
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Investigation of Proteretic Hopfield Networks
The proteretic Hopfield neural network is studied in this work. Hysteresis is a Greek word which means deficiency or lagging behind, and it can be defined as the occurrence of a delayed effect when forces acting on an abject are varied. It will be shown that the proteresis, which is the reverse of …
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Fuzzy neural networks
… neurons are modeled with artificial neural networks (ANNs or NNs). Neural networks, mathematically speaking, are a system of linked parallel equations that are solved simultaneously and iteratively. Initial research can be found in papers by McCulloch-Pitts (1943), Hebb (1949), Rosenblatt …
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A neural network model for resource leveling
A new neural network model aimed at solving the resource leveling (RL) problem in construction is developed. The model is derived by mapping a formulation of the RL problem as a quadratic augmented Lagrangian multiplier (QALM) optimization, onto an artificial neural network (ANN) architecture …
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Distributed associative memory
… but is still comparable to the well-known Hopfield network. The lost performance can be regained using integer storage which allows the superposition of the pattern representation, or ensuring bits are not overwritten independently using concepts from errorcorrecting codes. The final task …
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Self-orthogonalizing strategies for enhancing Hebbian learning in recurrent neural networks
A neural network model is presented which extends Hopfield's model by adding hidden neurons. The resulting model remains fully recurrent, and still learns by prescriptive Hebbian learning, but the hidden neurons give it power and flexibility which were not available in Hopfield’s original network. …
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An investigation of neural networks for image processing applications
This thesis investigates areas of neural networks and their application to aspects of image processing. Three neural network models, namely the backpropagation network, the Hopfield network and the competitive network, are studied. First, the learning algorithms for backpropagation networks and …
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Aplikace neuronových sítí
Bakalářská práce se zabývá problematikou neuronových sítí, a to konkrétně jejich historií, charakteristikou, základními typy neuronových sítí a učících algoritmů a analýzou jejich aplikačního nasazení, demonstrované na jednoduchých příkladech v softwaru MATLAB.