Pattern Recognition, Neural Networks
Spatio-/spectro-temporal pattern recognition using evolving probabilistic spiking neural networks
... spatio-temporal pattern recognition (STPR) that can facilitate the discovery of complex STP from streams of data and the prediction of new spatio-temporal ...spiking neural networks (SNN) ...
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Application of spiking neural networks and the bees algorithm to control chart pattern recognition
... chart pattern recognition has been successfully trained using artificial neural networks [Zorriassatine and Tannock, ...in neural systems can be founded also on the precise timing o f ...
246
Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control
... regulatory networks for tasks includ- ing controlling single cells, as unicellular entities or parts of multicellular bodies in two dimensions [80, 81] (it has been used to transform the structures into ...
148
Evolving spiking neural networks for spatio and spectro-temporal pattern recognition
... Spiking Neural Networks (SNN) have the potential to learn SSTD by using trains of spikes (binary temporal events) transmitted among spatially located synapses and ...
9
Artificial neural networks in pattern recognition: Classification and analysis of proton NMR spectra of human brain tumours
... unknown pattern is assigned to the class corresponding to the maximum output, confidence distance can be defined as the difference between the maximum predicted output and its nearest ...
161
Pattern Recognition Using Spiking Neural Networks
... fully-connected neural network comprised of 400 neurons in the hidden layer with the difference of ...three networks is unsupervised learning, which indicates that we should not present any additional ...
110
Generalizing convolutional neural networks for pattern recognition tasks
... CNN can be used for various pattern recognition applications using network architecture. This has been proved in [15], which applied five-layered CNN for character and face recognition problems. ...
11
Pattern Recognition with Convolutional Neural Networks: Humpback Whale Tails
... level neural networks that was developed for ...a neural network, make high-performance hardware an actual ...of neural networks allows to reduce considerably the time taken, compared ...
16
Pattern Recognition with Convolutional Neural Networks: Humpback Whale Tails
... level neural networks that was developed for ...a neural network, make high-performance hardware an actual ...of neural networks allows to reduce considerably the time taken, compared ...
15
Review On Neural Networks For Face Recognition
... artificial neural network was designed in ...the neural network to get trained more ...Earlier neural networks adopted supervised ...handwriting recognition was done by Graves ...Speech ...
9
Application of Neural Networks in Character Recognition
... in Neural Networks, pattern recognition has had a huge ...existing Neural Network ...backpropagation neural network and leaning vector quantization is analyzed by Anuja ...
6
Speech Recognition using MFCC and Neural Networks
... Speech recognition is the machine on the statement or command of human speech to identify and understand and react ...and pattern recognition. The speech recognition technology is the ...
8
Face Recognition Using Neural Networks
... ace recognition is an interesting and successful application of Pattern recognition and Image analysis. Facial images are essential for intelligent vision-based human computer interaction. Face ...
5
MEMBRAIN NEURAL NETWORK FOR VISUAL PATTERN RECOGNITION
... Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intel- ...simplified neural approach to recognition of visual patterns is portrayed and ...
6
Face Recognition using Artificial Neural Networks
... and recognition. ANN can be used in face detection and recognition because these models can simulate the way neurons work in the human ...ANN.Artificial neural networks (ANN) were used largely ...
6
Neural Network and Adaptive Feature Extraction Technique for Pattern Recognition
... There is a close correspondence between the behavior of self-organizing neural networks and the statistical method of principal component analysis. In fact, a self-organizing, fully interconnected 2-layer ...
6
Study of GUI Recognition using Pattern Matching in Neural Networks to improve its Performance
... interesting neural networks today use gradual linear progression functions to ease an NN into its proper behavior, some researchers use genetic algorithms to evolve ...
5
Artificial Intelligence for Speech Recognition Based on Neural Networks
... automatic pattern rec- ognition is growing due to the presence of large databases and strict requirements speed, accuracy and ...of recognition system template essentially consists of the following three ...
7
Detection and Recognition of Vehicle Using Neural Networks
... In this paper, after a theoretical formulation, an accurate, flexible, robust, and cost-effective RFID tag characterization and performance evaluation platform is presented and validated. It allows the calculation of the ...
5
Neural networks for object recognition
... feedforward networks that use a form of supervised learning called back-propagation ...a neural network, so a brief description must ...this pattern is presented to the network, the response is ...
42