artificial neural network in remote sensing

... presently Associate Professor in the Electrical Engineering Department of Narula Institute of Technology, Kolkata, India She has obtained her graduation in Electrical Engineering from B.E College, Shibpur, ... Degree level and as an administrator (acting principal) at the diploma engineering level, since 2004 She has also served as HOD, Electrical Engineering Department at Narula Institute of Technology ... faulty phase is used for training the BPNN for obtaining the fault location All the power system networks involved in the study have been simulated in MATLAB Simulink environ- ment The feature

Ngày tải lên: 29/12/2022, 10:40

... remote sensing data is presented The system is based on integrating two or more individual classifiers A new dynamic selection-based method is developed for integrating the decisions of the individual ... classifying image pixels into classes based on statistics without pre-defined training data This means that the technique is of potential importance when train-ing data representtrain-ing the ... resulting from affected by the way of performing the operation of clus-tering and the order of data presented to the process of clustering For instance, in the Kohonen network, the training phase

Ngày tải lên: 02/11/2022, 11:36

... https://en.wikipedia.org/wiki/Artificial_neural_network • https://en.wikipedia.org/wiki/Evolutionary_algorithm • ANN, EA : Aforge.Net documents • Dr Saceed Shiry, Intelligent Decision-Making Support Systems ... cấu hình game ArcheAge • Cấu hình đề nghị: • Hệ điều hành: 32-bit hoặc 64-Bit Windows XP SP3, Vista SP1, Win7 SP1, Win8/8.1 Trang 6Đồ họa• Chuyển động nhân vật • Hình ảnh nhân vật và môi trường ... 19Xây dựng csdl• Dữ liệu thu thập được lưu trữ vào cơ sở dữ liệu và được phân thành tập Training và tập Testing với tỷ lệ 7/3 • Trang 20Quá trình huấn luyệnTrang 21Kiểm thửTrang 22Ứng dụngTrang 24Tài

Ngày tải lên: 24/08/2015, 22:46

... of different neural network modelling approaches. Model inputs Fuel flow Total fuel supplied (from beginning) (kg) Fuel supplied in the last 10 min (kg) Fuel supplied in the last 10 min (kg) Fuel ... char, ash and minor contaminates) called ‘‘syngas’’, using gasifying agents[1] H2and CO contain only around 50% of the energy in the gas while the remained energy is contained in CH4 and higher ... be found in the case where the process tem-perature progression (desired output data in neural network training procedure) is function (Eq (7)) of fuel and air injected in the last 10 min together

Ngày tải lên: 01/08/2016, 09:32

... on artificial neural networks is that it does not require the mathematical description of the phenomena involved in the process, and might therefore prove useful in simulating and up-scaling ... these input and output variables, obtained from published experimental data, are shown in Table 1for CFB gasifiers and inTable 2for BFB gasifiers 2.2 Artificial neural networks topology An artificial ... necessary to take into account that in this case eight inputs are considered as shown in Eq.(4): The relative influence of the input variables was also evaluated using Eq.(3) as in the CFB gasifiers’

Ngày tải lên: 02/08/2016, 09:34

... prediction models using artificial neural network (ANN) during turning of free machining steel and reported that the cutting speed and feed rate had significant effects in reducing the surface roughness, ... machining mild steel using RSM with TiN-coated WC cutting tools It was found that, the surface roughness was decreased with an increase in cutting speed and increased as feed elevated An increase ... roughness in machining AISI 1030 steel using coated carbide tool (TiC/ Al2O3/TiN) Feed rate and insert nose radius were main influencing factors on the surface roughness Depth of cut was not more informative

Ngày tải lên: 14/05/2020, 22:03

... (trainbr) training algorithm: Trainbr is an ANN training function that allows updating weight and threshold values It minimizes the combination of squaring and weighting errors, and then determines ... to shedding the load are put into a data set to train the neural network The results were a data set consisting of 122 samples During neural network training, the data set is divided into 80% ... of the training methods are presented in Table 8 and Figure 6 Fig 5: ANN configuration Trang 8Table 8 Training and test accuracy of Artificial Neural Network training methods Training algorithm

Ngày tải lên: 18/02/2023, 08:20

... modifications in 4.6 We thenpresent our conclusions in 4.7 4.2 Linear Mixing Model The linear mixing model assumes that each spectrum in a given hyperspectral imagemay be decomposed into a linear combination ... in fact the vertices of a (k− 1) simplex that contains the data Note that this simplex must lie within the original k-dimensional subspace containing the data. ORASIS uses this idea by defining ... Computing SoftwareSupport Initiative (CHSSI) program [6] In addition to ORASIS, this project includedthe development of parallel versions of N-FINDR and two LMM-based anomalydetection routines In

Ngày tải lên: 12/08/2014, 03:20

... all incoming training patterns Once the back-propagation learning algorithm is finalized, a classification stage fol-lows, in which each input pixel vector is classified using the weights obtained ... an ordering relation (in terms of spectral purity) in the set of pixel vectors lying within a spatial search window (called a structuring element) designed by B [5] This is done by defining a cumulative ... for high-performance computing in many ongoing and planned remote sensing missions [3, 11] To address the need for cost-effective and innovative algorithms in this emerging new area, this chapter

Ngày tải lên: 12/08/2014, 03:20

... computational viewpoint, remote sensing could have a broad interpretation to mean both on-orbit sensors that are remote from the natural phenomena being measured, and in-situ sensors that could be in a sensor ... resources and institutions into virtual organizations. This flexibility and wide applicability to the scientific computing domain means that grids have clear relevance to remote sensing applications ... directly relevant to remote sensing Trang 29.1 IntroductionThe concept of distributed computing has been around since the development of net-works and many computers could interact The current

Ngày tải lên: 12/08/2014, 03:20

... for ingesting, processing, and analyzing atmospheric remote sensing data Theproject consists of several software packages, with the main packages being BEATand VISAN The BEAT package contains ... different actors involved Science is becoming increasingly national and interdisciplinary, resulting in an increased total number of dif-ferent actors involved (not only human) For example, ESA ... Information System, and Remote Sensing (RS)software, used mostly to create maps that combine various layers of information.GeoNetwork offers a single entry point for accessing a wide selection of

Ngày tải lên: 12/08/2014, 03:20

... Computing in Remote Sensing [19] D A Roberts, M Gardner, R Church, et al., Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models, Remote Sensing ... Geoscience and Remote Sensing, vol 22, pp 546–549, 1984 [2] A S Mazer, M Martin, M Lee, et al., Image-processing software for imaging spectrometry data-analysis Remote Sensing of Environrment, ... here are high in order to pursue © 2008 by Taylor & Francis Group, LLC 354 High- Performance Computing in Remote Sensing TABLE 14. 5 Nominal Characteristics... pursuing research questions

Ngày tải lên: 12/08/2014, 03:20

... and linear constraints (including equality and inequality constraints) It can be solved using nonlinear optimization techniques But we prefer to use linear optimization based techniques in our ... 2398 High-Performance Computing in Remote Sensingdetection and discrimination This technique is developed for our proposed algorithm, called the constrained linear discriminant analysis (CLDA) approach ... present in that pixel; n is an L× 1 vector that can be interpreted as a noise term or Trang 10406 High-Performance Computing in Remote Sensingmodel error Abundances of all the endmembers in a pixel

Ngày tải lên: 12/08/2014, 03:20

... implementation of LS shown in Listing 2 contains loop-carried flowdependences and cannot be run in parallel However, we can safely transform theloop nest in Listing 2 into Listing 3 since it preserves ... rest of the chip. Trang 10In summary, GPU makers will continue the battle for dominance in the consumergaming industry, producing a competitive environment with rapid innovation cycles.New features ... differences in their specific implementations, both in the overall structure and in the internals of some particular stages For instance, inthe G70 family the interpolation units are the first stage in

Ngày tải lên: 12/08/2014, 03:20

... TRUY N TH NG VÀ MÔ HÌNH ARTIFICIAL NEURALăNETWORK”ănh m giúp cho nhƠ đ u t l a ch n mô hình d báo t su t sinh l i thích h p v i t ng đi u ki n c th và có nh ng quy t đ nh kinh t h p lý Trang 122 ... Pricing Model) đ c ba nhƠ nhƠ kinh t h c William Sharpe, John Lintner vƠ Jack Treynor đ a ra vƠo nh ng n m gi a th p niên 60 Mô hình CAPM (Capital Asset Pricing Model) nh m d báo t su t sinh ... th n kinh nh sau: D a trên ý ngh a kinh t c a các bi n nh đư trình bƠy m c d li u, tác gi s d ng 5 bi n kinh t làm d li u trong m u đ xây d ng mô hình m ng th n kinh nhân t o d báo t su t sinh

Ngày tải lên: 24/11/2014, 01:42

... subjective thinking of the human mind was exploited, resulting in soft computing approaches that include neural networks and fuzzy logic based reasoning Recent applications in different domains proved ... FFNN [4] Training of the network can be done either off-line or on-line, depending on the application If the weights and biases of the network are determined through off-line training only, then ... also receiving wide attention in control applications When an artificial neural network (ANN) is used as a motor controller in real time, it can tune itself through on-line training and instruct

Ngày tải lên: 30/09/2015, 14:16

... different artificial intelligence techniques viz., Artificial Neural Networks, Particle Swarm Optimization Algorithm and Genetic Algorithms 2.1 Artificial Neural Networks Artificial neural networks ... one direction from input to output The network is trained in a supervised fashion involving both network inputs and target outputs The algorithms proposed for training and designing the architecture ... vary depending on the inputs and hence, there are no fixed input-output training data for training of the neural network This justifies the application of the DLPSO algorithm for designing the structure

Ngày tải lên: 05/10/2015, 22:04

... principle of risk minimization In artificial neural network (ANN) traditional Empirical Risk Minimization (ERM) is used on training data set to minimize the error But in SVM, Structural Risk Minimization ... Malfunctions in machinery are often sources of reduced productivity and increased maintenance costs in various industrial applications For this reason, machine condition monitoring is being pursued ... using J48 algorithm and the predominant features were fed as input for training and testing ANN and PSVM and their relative efficiency in classifying the faults in the bevel gear box was compared

Ngày tải lên: 04/04/2016, 22:35

... Supervised learning uses an existing controller or human feedback in training the neural network In order to train the neural network to imitate an existing controller a vector of inputs and control ... processing 3 Artificial neural networks (ANN) have memory The memory in neural networks corresponds to the weights in the neurons Neural networks can be trained offline and then transferred into ... disturbance occurs in the system Direct inverse control does not require an existing controller in training A neural network is trained to model the inverse of the process The neural network is cascaded

Ngày tải lên: 24/09/2016, 17:26