contentbased image classification using a neural network

... next layer A neural network may consist of two or more layers which are named as input, output and hidden layers That means that a neural network may or may not have hidden layers In neural network, ... propose a risk assessment framework using Artificial Neural Network (ANN) technique Three main phases of the proposed framework are risk management phase, ANN training phase and framework application ... framework are risk management phase, ANN training phase and framework application phase A list of Risk Factors is created and analyzed to determine risk values using the Failure Mode and Effect Analysis

Ngày tải lên: 11/02/2020, 12:51

... applied to a typical air combat maneuvering, a dogfight, a form of aerial combat between fighter aircraft Advantages of integrating contextual information in a neural network tracking approach are demonstrated ... Art Open literatures on target maneuvering estimation from noisy position data from radar data are very scanty A detailed literature survey has been carried out by Ananthasayanam et al [21] and ... real data as those gathered from real devices or from actual data provided by a real radar While it is desirable to have a proper output data to validate network results, generally aircraft real

Ngày tải lên: 24/12/2022, 14:02

... with neural networks The strategy of backpropagation neural networks can be used to adjust particles in tail area with low weights in a particle filter The basic idea of backpropagation neural networks ... features can be updated as long as the information of a new seizure is available Thus the system can adaptively update all related parameters automatically based on available seizure information ... temporal areas The amplitude of data is relative to the real one after sampling them, but all the features will be kept the same For each patient, there are datasets called “ictal,” and “interictal,”

Ngày tải lên: 21/06/2014, 20:20

... Close-Speaking Microphone: A Neural Network Approach A. Shahina 1 and B. Yegnanarayana 2 1 Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai 600036, India ... [18] B. Yegnanarayana, Artificial Neural Networks, Prentice-Hall, New Delhi, India, 1999. [19] H. Misra, S. Ikbal, and B. Yegnanarayana, “Speaker-specific mapping for text-independent speaker recognition,” ... 85–92, Kanpur, India, December 2005. [16] P. Ladefoged, ACourseinPhonetics, Harcourt College Publish- ers, Orlando, Fla, USA, 2001. [17] A. Shahina and B. Yegnanarayana, “Mapping neural networks

Ngày tải lên: 22/06/2014, 19:20

... an accuracy of 93.9% when evaluated on an image database of 2216 images using leave-one-out strategy Iqbal and Aggarwal [5] devel-oped an approach for content-based image retrieval based on isotropic ... [4] A Vailaya, A Jain, and H J Zhang, “On image classification: city images vs landscapes,” Pattern Recognition, vol 31, no 12, pp 1921–1935, 1998 [5] Q Iqbal and J K Aggarwal, “Image retrieval ... features for region-based image an-notation and retrieval The classifiers used are Bayesian, in-dependent component analysis (ICA), principal component analysis (PCA), and artificial neural network

Ngày tải lên: 22/06/2014, 23:20

... (A.1) [...]... Widrow and S D Stearns, Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, USA, 1985 [22] Q Gan, P Saratchandran, N Sundararajan, and K R Subramanian, A complex valued ... Bershad, J Sombrin, and F Castani´ , e Neural network modeling and... USA, 1996 [7] G E Corazza, R Pedone, and A Vanelli-Coralli, “Mobile satellite channels: statistical models and performance ... extensive analysis and com- parisons between the above equalizers and other NN-based equalizers, such as radial basis function (RBF) equalizers and self-organizing map (SOM) equalizers. The reader can

Ngày tải lên: 23/06/2014, 01:20

... pre-defined categories This approach has been applied in many areas, such as patent classification, news delivery, and email spam filtering In contrast to manual classification, automatic classification ... manual classification, researchers have explored automatic text classification as an alternative approach Using machine learning techniques, automatic text classification assigns documents to a set ... has several advantages over centralized classification The distributed architecture offers computational scalability for classification Mukhopadhyay et al (2005) demonstrate that classification

Ngày tải lên: 13/11/2014, 09:10

... especially grateful to Vicky Lu SiYan, Atul Karande, Anupam Trivedi, Balaji Parasumanna Gokulan, Dr Raju Kumar Gupta, Dr Naran Pindoriya, Dr Deepak Sharma, Dr Yogesh Kumar Sharma, Sujit Kumar Barik ... CPCA For similar number of model parameters, the NLCPCA captures more variance of a data set than the alternative real approach (i.e replacing each complex variable by two real variables and applying ... Schematic of a Biological Neuron An artificial neural network (ANN), or commonly just neural network (NN) is an interconnected group of artificial neurons that uses a mathematical or computational

Ngày tải lên: 09/09/2015, 18:49

... the vibration data of a bevel gear box system and classification of Gear faults using artificial neural network (ANN) and proximal support vector machine (PSVM) The vibration signal from a piezoelectric ... Trang 1Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM) Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, ... time information in the transform domain But instead of a frequency parameter, we have a scale Scaling, as a mathematical operation, either dilates or compresses a signal Smaller scale corresponds

Ngày tải lên: 04/04/2016, 22:35

... the database for the later qualification examination MP2 calculations are executed, and the resulted ab initio ener-gies are then compared with the NN-predicted enerener-gies A final qualification ... dissociation of ClOOCl are considered as highly reactive species and have been investigated in many experimental studies Molina and Molina [1] proposed a reaction scheme that plays an important ... important and attracted attention of many environmental chemists Under many circumstances, the breaking of ozone is more or less caused by ClO radical, and this concern has raised a critical issue

Ngày tải lên: 16/12/2017, 11:44

... mapminmax func-tion of MATLAB software was applied to the image and model data At the forward stage, the thermal range of all data was saved and data were mapped to the interval [
1,+1] by applying ... surface can be acquired as long as relevant data on the source of internal heat are known However, in practice body surface temperature can be acquired through an infrared camera and the information ... had to be matched and normalized with thermal image data in both spatial and thermal scales The minimum spatial distance between samples in thermal image is restricted by the camera field of

Ngày tải lên: 13/01/2020, 14:00

... AC motor with uncertain parameters and changing loads on stationay coordinate (α,β) using the decoupling method c) The speed estiamtion algorithm for AC motor using artifical neural network and ... selfadaptation d) The speed estiamtion algorithm for AC motor using self-adaptation Lyapunov stability theory and Barbalats’s lemma are used to prove the system asympotic stability of the algorithms ... parameters and changing load on rotating coordinate (d,q) and stationary coordinate (α,β) The global asympotic stability of system are proved by Lyapunov stability theory and Barbalat’s lemma

Ngày tải lên: 17/01/2020, 02:35

... International Workshop on Medical Image Analysis and Description for Diagnosis Systems, (2009) [8] Rachel Indra Kanta Maitra1, Sanjay Nag, Pradip Saha and Samir K Bandyopadhyay, "A Tree-based Approach ... direction : 1 2 arctan S S (7) 2.3 Laplacian of Gaussian The Laplacian of Gaussian was combined Gaussian kernel with the Laplacian In this method, all the second derivatives of an image are computed ... Software Consortium, Chapter 4, pp 79-82, 395-426 (2017) Available at: https://itk.org/ItkSoftwareGuide.pdf [3] Nadeem M, Asadullah S, A Waqas, Adamu A, S Kamran, S B Zaidi," Image Segmentation

Ngày tải lên: 21/01/2020, 08:06

... by comparing it with actual experimental data for the laser micro welding The ANN and Multi Regression approaches have been used in another laser application which is the laser Heat-treatment ... high Ra of 5 µm can achieved by the sets of the laser parameters shown in Table 5 a Ra at laser power of 3 and 9 (W) b Interactive width at laser power of 3 and 6 (W) c Lap width at laser power ... structure Artificial Neural Network (ANN) as well as the RAM methods have been used in different fields such as engineering, medicine, economic and others fields Sofiane et al (2003) and Abdoul-Fatah

Ngày tải lên: 14/05/2020, 21:53

... present a Deep neural network (DNN) model based on autonomous car platform This is a small-scale replication of a real self-driving car, which drove on the roads using a convolutional neural network ... recognition, facial recognition, cancer cell classification The breakthrough of CNNs is that features are learned automatically from training examples Although their primary disadvantage is the ... gradient are adjusted  Decay: 0.009 It is a hyper-parameter that learning rate is calculated each epoch as following: lrate = initial_Lrate/(1+ decay*epoch)  Nesterov: True It is a hyper-parameter

Ngày tải lên: 24/07/2020, 17:17

... for classification by LDA/SVM/Naive Bayes classifiers; on the other hand, the EEG signals are regarded as a Table 1 Conventional classification methods for motor imagery classification Qin et al ... 2conventional classification of EEG signals was usuallyadapted by “shallow” classifiers (linear discriminant anal-ysis (LDA), support vector machine (SVM), and neural network (NN)) [21–25], such classifiers ... single-trial motor imagery action By using the same cropping strat-egy in the validation phase, the classification of single-trial motor imagery action will predict several targets The final evaluated

Ngày tải lên: 25/11/2020, 14:33

... Caruana [9] demon-strated that sampling data amplification can help small datasets in MTL where tasks are related by combining the estimates of the learned parameters to obtain better estimates ... other datasets As an example, two of the Gene/Protein datasets we used contain Pebp2 (and its Trang 3variants) in their evaluation data but not in their train-ing data There are three other datasets ... variations on subsets of the datasets trained jointly and variation in dataset sizes At each training step a fixed amount of training exam-ples (mini-batch) from the dataset being trained was

Ngày tải lên: 25/11/2020, 17:16

... “Artificial Neural Networks”, Prentice Hall 1998 [17] Sunil Elanayar V.T, Yung C Shin, “Radial Basis Function Neural Network for Approximation and Estimation of Nonlinear Stochastic Dynamic Systems”, ... indirect neural control, internal model control using neural network RBF neural network have shown an excellent ability to model any nonlinear function with a necessary degree of accuracy Because ... Decision and Control, Hawaii, USA, Dec 2003 [3] Chen-Chen Lee, Pau-Choo Chung, Jea-Rong Tsai, and Chein-I Chang, “Robust Radial Basis Function Neural Networks”, IEEE Transactions on Systems, Man, and

Ngày tải lên: 10/02/2021, 22:24

... important role in the overall architecture of controller using neural network In this thesis, I present an identification approach based on Radial Basis Function neural network that is Trang 5trained ... input space to the hidden unit space is nonlinear, whereas the transformation from the hidden unit space to the output space is linear The identification of complex and nonlinear plants plays an ... an excellent ability to model any nonlinear function with a necessary degree of accuracy Because of this property, they are suitable for the identification and control nonlinear plants The construction

Ngày tải lên: 04/04/2021, 06:59

... 2015 , làm training dataset để huấn luyện cho model Training function: LM (Levenberg Marquardt) ; OSS ( one step secant) ; ‐ GDA ( gradient descentwith adaptive learning rate) ; GDM ( gradient descent ... with momentum) Transfer function: TANGSIG, PURELIN , LOGSIG Trang 11a = tangsig(n) a = logsig(n) a = purelin(n)Trang 125.1 : Four prior working dayDataset Trang 15Lưu ý: Bất kỳ sự thay đổi số lượng ... hóa) càng chặt chẽ giá trị thực tế (y experimental)‐ M là số lượng data Trang 9Phương pháp :Dữ liệu huấn luyện sẽ được chia làm 2 loại training dataset : 4 prior working day 9 prior working dayTạo

Ngày tải lên: 09/01/2022, 09:56