neural network based identification
Rice seeds identification based on back propagation neural network model
... The projection features of the main plane cross-section of rice seeds were calculated by the projection point cloud model, and the obtained values are given in Table 2. Among nine morphological parameters, the length, ...
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AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE STREAMING NETWORK
... neuron identification models namely NARX and ...system identification model undergoing for vortex induced vibration of marine riser depends on Neural Network which didn’t represented before ...
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ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT FAULT IDENTIFICATION OF ROTATING MACHINERY
... For multinomial classification problems (1-of-n, where n > 2) we use a network with n outputs, one corresponding to each class, and target values of 1 for the correct class, and 0 otherwise. Since these targets ...
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An Automated Ceramic Tiles Defect Detection and Classification System Based on Artificial Neural Network
... image based systems are most economical and easily installable solution with low maintenance ...the identification accuracy of morphological operations or fixed mathematical model based ...artificial ...
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Application of functional link neural network to HVAC thermal dynamic system identification
... artificial neural network and fuzzy logic ...a neural controller [12], [17], ...Artificial neural networks are also used to emulate the plant dynamics, in order to estimate future plant ...
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Convolutional Neural Network for Paraphrase Identification
... paraphrase identification (PI). Based on the insight that PI requires compar- ing two sentences on multiple levels of granu- larity, we learn multigranular sentence repre- sentations using convolutional ...
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Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition
... Nondestructive identification of tea (Camellia sinensis ...accurate identification of tea (Camellia sinen- sis ...Artificial Neural Network (ANN) were compared to construct the ...
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A Novel Hybrid Ensemble Model to Identify Spectrum Anomaly
... First, based on empirical mode decomposition (EMD), the raw normal and abnormal spectrum data will be decomposed into a residue and a verity number of intrinsic mode functions (IMFS) which are the inputs for the ...
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Recent Trends and Insight Towards Automated Identification of Plant Species
... plant identification, leaf- based recognition is more common and reliable as it is claimed to be easily accessible and abundant compared to other plant morphological structures such as flowers, barks or ...
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Kurdish speaker identification based on one dimensional convolutional neural network
... 3.1. MFCC Feature. One of the frequently used features in voice processing like voice recognition, speaker recognition and gender identification is the MFCC. In the recent years, it has been used in various ...
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Retina Based Biometric Identification System using Artificial Neural Network
... Artificial neural network has gained wide acceptance all over the world in the field of medical, technical ,scientific, research etc ...artificial neural network using retinal features has ...
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Speaker Identification System based on PLP Coefficients and Artificial Neural Network
... Neural networks are adaptive statistical devices. This means that they can change iteratively the values of their parameters (i.e., the synaptic weights) as a function of their performance. These changes are made ...
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Design and Implementation of Fingerprint Identification System Based on KNN Neural Network
... KNN neural matching techniques in the matching step and threshold selection technique has been ...drawn based on the practical results obtained from the imple- mented systems and the followings are the most ...
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Application in Composite Machine Using RBF Neural Network Based on PID Control
... control based on RBF neural network, through online identification process model is established and provide gradient information for the neuron controller, realizes the online ...
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Intelligent optimization for support pressure zone algorithm based on fuzzy neural network damage identification
... According to the definition of the WBS, the SPZ holds three categories of pressures: the first is the pressure from the balanced WBS under the warping effect; the second is the overlying strata’s weight at the SPZ; and ...
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Optimal Method for Identification of Cracks in Different Beams using Fuzzy with Elephant Based Neural Network
... approach requires less computational time and also it has excellent learning capabilities. The utilization of subtractive clustering technique is; which operates on raw numerical data. When the number of inputs in the ...
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Recurrent Neural Network Based Loanwords Identification in Uyghur
... are based on optimality theory; experiment has been proved that with a few training examples, this model can obtain good performance at predicting donor forms from borrowed ...similarity based methods were ...
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A Neural Network Based Model for Loanword Identification in Uyghur
... model based on character embedding and our pro- posed two ...loanwords identification in Uyghur have pre- sented that the proposed model can significantly improve the identification ...
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An Automated System for Identification of Skeletal Maturity using Convolutional Neural Networks Based Mechanism
... layered Neural Network (Fig 8), Constitutes with an Input, Hidden and an Output ...convolutional neural layers of sizes 7X7, 5X5, 3X3 or all ...
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Design And Development Of Convolutional Neural Network (CNN) Enabled Smart Camera Based User Entrance Intention Detection System
... Gait Energy Image (GEI) method to apply recursive principle component analysis technique achieved better recognition rate [9, 10, 11, 12]. Gait Energy Image (GEI) representation were used for different application ...
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