[PDF] Top 20 Fingerprint Recognition with Artificial Neural Networks: Application to E Learning

Fingerprint Recognition with Artificial Neural Networks: Application to E Learning

... From a technical point of view, there are two different problems in the field of fingerprint analysis, namely: classification and correspondence. The classification consist in putting together some fingerprints ... See full document

11

Design optimization for the two stage bivariate pattern recognition scheme

... pattern recognition has widely use and utilize in various field of area ...pattern recognition is act to reveal potential quality ...the artificial neural network (ANN) will analyse the ... See full document

39

Face Recognition using Artificial Neural Networks

... The idea of ANNs is based on the belief that working of human brain by making the right connections, can be imitated using silicon and wires as living neurons and dendrites. The human brain is composed of 86 billion ... See full document

6

Human Gesture Recognitions Using Levenberg Perceptron Neural Network

... gesture recognition researches is to create system that can easily identify gestures, and use them for device control, or convey some ...gesture recognition based on Artificial Neural ... See full document

7

Artificial Intelligence Technique for Speech Recognition Based on Neural Networks

... speech recognition based on sophisticated ...using artificial neural networks, As a result; when building a signal processing system, the structure of the network should be selected; according ... See full document

6

Application of Artificial Neural Networks in Civil Engineering

... Artificial neural networks are computers whose architecture is modeled after the ...and learning ability of a biological ...An artificial neural network (ANN) is applied to ... See full document

8

Artificial Intelligence for Speech Recognition Based on Neural Networks

... These applications include data mining the definition of “plan”. For example, he correlations or independently in millions of multidimensional models, document classification effectively search text documents, financial, ... See full document

7

Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS

... Neuro-fuzzy models, including adaptive neuro fuzzy inference systems (ANFIS) [14], [15] are fuzzy inference systems implemented as neural nets. Each layer in the network correspondsto a part of the FIS: input ... See full document

5

Superintelligent Deep Learning Artificial Neural Networks

... A bigger issue for widespread adoption by large organizations, however, is trust. How much do people trust the AI outputs? How much will people accept what AI systems tell them? The immaturity of some of ... See full document

16

Application of Neural Networks in Character Recognition

... From Table 1, it is clear that LR at 0.75 produced the best result in terms of both time and performance. The performance curve (Figure 5) also suggests that this has a faster convergence rate in comparison with other LR ... See full document

6

A Review of Unsupervised Artificial Neural Networks with Applications

... unsupervised neural networks. In [42], two different approaches, neural network and fuzzy clustering used in segmentation of MRI images of human brain were compared from different perspectives, some ... See full document

5

Diagnosing Knee Osteoarthritis Using Artificial Neural Networks and Deep Learning

... pattern recognition algorithms were ...different learning classifiers and 7 variants of deep learning ...deep learning networks which were investigated over a wide range of hidden size ... See full document

8

A novel method for Handwritten Digit Recognition with Neural Networks

... a learning task that is reasonably workable, a great amount of pre-processing of the digits is carried out using conventional Artificial Intelligence (AI) ... See full document

8

Sign Language Recognition using Hybrid Neural Networks

... in learning, in distribution of concepts and in preserving public ...language recognition is to offer an effectual and correct tool to transcribe hand gesture into ...language recognition (SLR), as ... See full document

7

A Review Of Machine Learning Techniques And Statistical Models In Anaemia

... the artificial neural networks and support vector machines to suite the study at ...the artificial neural network through the use of statistical models have to be embraced as innovative ... See full document

5

Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks

... Artificial neural networks have achieved the state-of-the-art performance on several pattern recognition ...Instead, networks are trained to produce their end results directly from the ... See full document

5

Application of Neural Networks with CSD Coefficients for Human Face Recognition

... modern neural network research is to realize ANN from understanding different aspects of the biological ...through learning process and make it available to ...face recognition and other pattern ... See full document

72

Effective Character Recognition using ANN & Convolution Techniques.

... Character recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are ...documents. ... See full document

5

Structural Damage Diagnosis and Prediction Using Machine Learning and Deep Learning Models: Comprehensive Review of Advances

... machine learning algorithms, indicates that deep learning, along with the ensemble and hybrid machine learning methods are the future of data ...deep learning models and hybrid machine ... See full document

27

Smart Education System Developed by Sentiment Analysis of Students Using PMM Neural Networks

... deep learning helps in finding groups of such students from a geographical area who can group and study ...audience. Neural networks are widely used in finding patterns and helps in such type of ... See full document

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