Neural network model in pattern recognition using probabilistic contextual informationKeith LorisJames Euchner
Human beings are subjective experts in both discernment and imposition of patterns in nature; pattern recognition by machines commonly excludes gestalt theory, although figure/ground phenomena and other aspects of sensory perception are common to both. An artificial neural network is "a massively ...
TheNeural Net Pattern Recognitionapp provides a built-in training algorithm that you can use to train your neural network. Training AlgorithmDescription Scaled conjugate gradient backpropagation Scaled conjugate gradient backpropagation updates weight and bias values according to the scaled conjugate gradient...
PATTERN RECOGNITION FOR DOWNHOLE DYNAMOMETER CARD IN OIL ROD PUMP SYSTEM USING ARTIFICIAL NEURAL NETWORKS This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers... MAD Bezerra,L Schnitman,MDAB Filho...
"Pattern Recognition in Electronic Noses by Artificial Neural Network Models ,"Sensors and Sensory Systems for an Electronic Nose [M]. Kluweer Academic Publishers, J. W. Gardner and P. N. Bartlett (ed. s), Amsterdam, The Netherlands, 1992,217-236...
Neural Network Pattern Recognition Tool.. Learn more about pattern recognition, neural network Deep Learning Toolbox
Select Chapter 3 - Temporal Pattern Matching Using an Artificial Neural Network Book chapterAbstract only Chapter 3-Temporal Pattern Matching Using an Artificial Neural Network Fatih A. Unal Pages 77-104 Purchase View chapter Select Chapter 4 - Patterns of Dynamic Activity and Timing in Neural Networ...
After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of ...
[15] K Fukushima. Neocognitron : a self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4):193-202, 1980. [16] Masoud Ghodrati, Amirhossein Farzmahdi, Karim Rajaei, Reza Ebrahimpour, and SeyedMahdi Khaligh...
A commonly used application of this type of network is in pattern recognition in neural linguistics, in which handwritten letters of the alphabet are decoded or interpreted by networks for machine translation. However, in economic and financial applications, the combining of the input variables into ...