Browsing by Subject "Backpropagation"
Now showing items 1-11 of 11
-
Article
AM-FM texture image analysis of the intima and media layers of the carotid artery
(2009)The purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media ...
-
Conference Object
Comparative analysis of artificial neural network models: Application in bankruptcy prediction
(IEEE, 1999)This study compares the predictive performance of three neural network methods, namely the Learning Vector Quantization, Radial Basis Function, the Feedforward network that uses the conjugate gradient optimization algorithm, ...
-
Article
Congestion control in autonomous decentralized networks based on the lotka-volterra competition model
(2009)Next generation communication networks are moving towards autonomous infrastructures that are capable of working unattended under dynamically changing conditions. The new network architecture involves interactions among ...
-
Conference Object
Convergence analysis for a class of neural networks
(Publ by IEEE, 1992)Summary form only given, as follows. The authors consider the convergence issue that arises in the application of backpropagation algorithms in a special class of neural network architectures, referred to as structured ...
-
Conference Object
Convergence of belief propagation algorithms on binary pairwise Gibbs random fields
(2011)In this paper, we study the convergence of belief propagation algorithms (BPAs) on binary pairwise Gibbs random fields (BP-GRFs). Exploiting the equivalence of BPA on the graph associated with BP-GRF and the corresponding ...
-
Article
Genetics-based machine learning for the assessment of certain neuromuscular disorders
(1996)Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks (ANN's) in classifying EMG data trained with backpropagation or Kohonen's ...
-
Article
Learning and Convergence Analysis of Neural-Type Structured Networks
(1992)A special class of feedforward neural networks, referred to as structured networks, has recently been introduced as a method for solving matrix algebra problems in an inherently parallel formulation. In this paper we present ...
-
Conference Object
Modular artificial neural network valuation system
(IEEE, 2000)The objective of this study was to design, develop and test a Modular Artificial Neural Network Valuation system (MANN) incorporating Multiple Regression Analysis (MRA) for the assessment of houses and apartments in Strovolos ...
-
Article
Multiagent reinforcement learning with spiking and non-spiking agents in the iterated prisoner's dilemma
(2009)This paper investigates Multiagent Reinforcement Learning (MARL) in a general-sum game where the payoffs' structure is such that the agents are required to exploit each other in a way that benefits all agents. The contradictory ...
-
Conference Object
A screening system for the assessment of opacity profusion in chest radiographs of miners with pneumoconiosis
(Institute of Electrical and Electronics Engineers Inc., 2002)The aim of this study was to develop a screening system of chest radiographs of miners with pneumoconiosis. Chest radiographs were of coal mine or silica dust exposed miners participating in a health screening program. A ...
-
Article
Sensitivity analysis of a neural network used for the forecasting of electric power load
(1999)A feedforward multilayer neural network has been used for the estimation of the four-hour-ahead electric load in Power Plant in the island of Crete. An attempt was made to use few variables for the input vector, while ...