cirovic d a 1997 feed forward artificial neural networks applications to spectroscopy trend anal chem 148 155
Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
... input layer – two hidden layer – one output layer is used ANN model was designed to build and operate a database for the physical properties of the soil and results of consolidation test, to learn ... the database, and to predict the properties of consolidation SELECTION OF STRAIN RATE r= V − Vmin Vmax − Vmin Data Collection Data Normalization Parametric Studies (3) Training and Testing ANN ... slightly different from the field data In particular, these differences are increase at the high strain rate range The reason is that ANN model has not a lot of database on the high strain rate To...
- 5
- 516
- 1
Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
... available data set should be presented to the model in the learning phase in a “model understandable” way To generalize this principle it can be stated that an understandable way is similar to ... 496 Advanced Air Pollution Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according to their topology The tool was ... inputs to the model This huge data base forced us to establish methods for feature determination and pattern selection The idea was to find patterns that carry most of the available information and...
- 15
- 337
- 0
a new type of structured artificial neural networks
... Section clarifies some aspects of these conversions 2.8 Training MMC operations can be used to design algorithms that add or organize MMC data SCA is an example SCA does not add data but it creates ... own natural ontologies, which can then be compared with observation, an approach that is radically different from the more traditional static man-made ontologies, and has remarkable similarities ... information” that carry the traveling data constitute the data channel, and the lengths of the scopes are a measure of its width The maximum width Wm (C) and the average width Wa (C) of the data...
- 7
- 421
- 0
báo cáo hóa học: " Error mapping controller: a closed loop neuroprosthesis controlled by artificial neural networks" doc
... interests Authors' contributions AP and SF have made substantial contributions to conception and design, acquisition of data, analysis and interpretation of data and manuscript drafting; EDM have made ... made part of acquisition of data, analysis and interpretation of data and have been involved in drafting the manuscript; and GF have made substantial contributions to conception and design and interpretation ... already been established that adding noise to the training data in artificial neural learning improves the quality of learning, as measured by the trained networks ability to maximize exploration...
- 13
- 392
- 0
ARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONS doc
... can not deal with one -to- many associations, and associa‐ tions of analog patterns As the model which can deal with analog patterns and one -to- many associations, the Kohonen Feature Map Associative ... applications, physics applications, chemistry applications, and financial applications Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks ... called auto-associative; if they are different, hetero-associative 30 Artificial Neural Networks – Architectures and Applications Artificial Neural Networks 1.6 Back-propagation Back-propagation...
- 264
- 785
- 0
vehicle signal analysis using artificial neural networks
... linear ANN for axle weight distribution factor (AWDF) calculation An individual ANN was constructed separately for calculating axle weight distribution factors (AWDFs) which are used to calculate ... constructed and trained using random vehicles’ data When training was completed, the validation test followed using the remaining data that were not used for training Results of training and validation ... each stage The ANN for the 1st stage calculates GVW by analyzing the dynamic strain signal measured from the main girders and/or cross beams, and the 2nd ANN calculates GVW distribution factors...
- 14
- 348
- 0
audio to visual speech synthesis using artificial neural networks
... Head adumbrated form, is almost comparable to that of a real human The talking head can be animated on a standard PC, and requires no specialized hardware other than a good 3D graphics card, which ... standard on many computers In addition, we have a desktop application in which any person’s face can be manually adjusted and mapped onto the talking head A single image of a person, once adjusted ... 0.0 to 1.0, each parameter was normalized relative to it’s minimum and maximum values over the entire data set in such a way that all parameters varied between 0.05 and 0.95 We used a feed- forward...
- 6
- 327
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf
... Chapter Application of Artificial Neural Networks in the Estimation of Mechanical Properties of Materials Seyed Hosein Sadati, Javad Alizadeh Kaklar and Rahmatollah Ghajar 117 Chapter Optimum Design ... Madhukar Bhotmange and Pratima Shastri Chapter 11 Application of Artificial Neural Networks in Meat Production and Technology 223 Maja Prevolnik, Dejan Škorjanc, Marjeta Čandek-Potokar and Marjana ... Science and Industry 89 Chapter Artificial Neural Networks for Material Identification, Mineralogy and Analytical Geochemistry Based on Laser-Induced Breakdown Spectroscopy 91 Alexander Koujelev and...
- 35
- 468
- 1
Artificial Neural Networks Industrial and Control Engineering Applications Part 2 doc
... Network training set was carried out with 400 data and a validation set of 183 data was also performed 200 data was used to Artificial Neural Network Prosperities in Textile Applications 51 test ... method and the designed ANN was very accurate and applicable to predict the apparent parameters Their optimized ANN was formed from two hidden layers, in which the first hidden layer had and the ... used the identification accuracy of each grade and average identification accuracy (AIA%) of five grades as performance parameters Their results were expressed and compared five wavelet bases (db2,...
- 35
- 333
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc
... Material Identification, Mineralogy and Analytical Geochemistry Based on Laser-Induced Breakdown Spectroscopy Alexander Koujelev and Siu-Lung Lui Canadian Space Agency1 Canada Introduction Artificial ... Three hidden layers; and SD – Standard deviation Table 15 Experimental and predicted values of initial thickness by ANN model 82 Artificial Neural Networks - Industrial and Control Engineering Applications ... – Three hidden layers; and SD – Standard deviation Table 17 Experimental and predicted values of percentage thickness loss by ANN model 84 Artificial Neural Networks - Industrial and Control...
- 35
- 440
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 4 pot
... convergence and accuracy The weights and biases obtained from this training are carried forward to the second training of Artificial Neural Networks for Material Identification, Mineralogy and Analytical ... designed for use in a certain problem, two general neural networks can be designed, namely feedback and feedforward neural networks The most widely used algorithms are in general feedforward networks, ... ISSN: 05848547 Application of Artificial Neural Networks in the Estimation of Mechanical Properties of Materials Seyed Hosein Sadati, Javad Alizadeh Kaklar and Rahmatollah Ghajar K N Toosi University...
- 35
- 382
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf
... forward feed neural network which is based on the error back-propagation algorithm And the study of BP neural network can be divided into two steps which named forward- propagation process and ... algorithm Results and discussion 3.1 Performance of the model Scatter diagrams of model predictions versus experimental data for both training data and validation data are used as a means of showing ... standard BP algorithm, and can obtain more accurate and reliable optimization results Compared with the experimental results and the predicted result of standard BP neural network, it indicates...
- 35
- 418
- 2
Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx
... ash and samples that had a proximate analysis and/or an ultimate analysis different from 100% were excluded from the database Analysis results for a total of 4540 coal samples were used The sampling ... Prediction of Calorific Value Based on the Analysis of U.S Coals 171 State Number of samples Range of GCV (MJ/kg) Alabama Alaska Arizona Arkansas Colorado Georgia Indiana Iowa Kansas Kentucky Maryland ... 3.27 Table Ranges of proximate and ultimate analyses of coal samples (as-received) 172 Artificial Neural Networks - Industrial and Control Engineering Applications Methods 3.1 Regression analysis...
- 35
- 404
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 7 pptx
... 10 Application of Artificial Neural Networks to Food and Fermentation Technology Madhukar Bhotmange and Pratima Shastri Laxminarayan Institute of Technology, Rashtrasant Tukadoji Maharaj Nagpur ... combined data were subjected to analysis using an artificial neural network (ANN) The ANN yielded several combinations of input data that allowed to assign all 100 samples from Ireland and Norway correctly ... was investigated Total 30 data points in the above mentioned range were subjected to training and validation using eliteANN software (Pandharipande & Badhe, 2003) with feed forward, sigmoidal...
- 35
- 415
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 8 pptx
... spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks Sensors and Actuators B-Chemical, 145, 1, 146-154, ISSN: 0925-4005 Balasubramanian, S., Panigrahi, S., ... method, as lead the validation data into the model, and analyze difference value between the model prediction value and real value The specific flow chart is shown in Figure In the actual application, ... the data and add another algorithm in the neural network To take further the reliability of the quantitative analysis, this method only changes in charge and discharge current mode of qualitative...
- 35
- 387
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 9 pptx
... Abad Dinarloo Seydan Arsanjan Table II Marvdasht substation capacities NO SUBSTATION NAME Marvdasht 230/66 (kV) Marvdasht City Mojtama Kenare Sahl Abad Dinarloo Seydan Arsanjan FEEDER NO TAG - 602 ... is divided proportionally according to the load demands, to ensure that all real power generation of generator at buses 14 to 25 varies in respond to the daily load pattern of the loads at least ... network After the input and target for training data is created, next step is to divide the data (D and T) up into training, validation and test subsets In this case 100 samples (60%) of data are...
- 35
- 481
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 10 doc
... signal Rearranged and composed training and validation set Fig Data set II training cycle of NOx target output 316 Artificial Neural Networks - Industrial and Control Engineering Applications DATA ... optimal machining parameters A gradient based multi criteria decision making approach was applied by Malakooti and Deviprasad (1989) to aid the decision-maker in setting up machining parameters ... Applications divided into quarters accordingly and then newly-arranged As a result the training and validation set cover a high oscillating part with high peaks and a flat, low oscillating part...
- 35
- 258
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 11 pptx
... neurons, material hardness and depth of cut, and two output neurons speed and feed The values of inputs and outputs are not of the same scale So, all data are normalized Tables and contain a set ... and FTi a FTi + c using interpolation calculate vectors K a F for the control law d calculate the actual value of manipulated variable u e actualize the data history 366 Artificial Neural Networks ... Machinability Data Selection of CNC Machines 343 Results and discussion Both SFF-ANN are used to predict optimum machining parameters using data extracted from the Machining Data Handbook (MDH) (Table...
- 35
- 291
- 0
Artificial Neural Networks Industrial and Control Engineering Applications Part 12 pdf
... Rio de Janeiro 18 Direct Neural Network Control via Inverse Modelling: Application on Induction Motors Haider A F Almurib1, Ahmad A Mat Isa2 and Hayder M .A. A Al-Assadi2 1Department of Electrical ... correlation UAV autopilot is an example of MIMO where speed, altitude, pitch, roll, and yaw angles must be maintained and throttle, several rudders, and flaps are available as control variables ... condition, no inertial and aerodynamic coupling, the behavior of RUAV can be divided into lateral and longitudinal dynamics mode and train with MIMO The longitudinal cyclic deflection and collective...
- 35
- 408
- 0
Tìm thêm: xác định các mục tiêu của chương trình xác định các nguyên tắc biên soạn khảo sát các chuẩn giảng dạy tiếng nhật từ góc độ lí thuyết và thực tiễn khảo sát chương trình đào tạo gắn với các giáo trình cụ thể xác định thời lượng học về mặt lí thuyết và thực tế tiến hành xây dựng chương trình đào tạo dành cho đối tượng không chuyên ngữ tại việt nam điều tra với đối tượng sinh viên học tiếng nhật không chuyên ngữ1 khảo sát các chương trình đào tạo theo những bộ giáo trình tiêu biểu phát huy những thành tựu công nghệ mới nhất được áp dụng vào công tác dạy và học ngoại ngữ mở máy động cơ lồng sóc mở máy động cơ rôto dây quấn các đặc tính của động cơ điện không đồng bộ hệ số công suất cosp fi p2 đặc tuyến hiệu suất h fi p2 đặc tuyến mômen quay m fi p2 đặc tuyến tốc độ rôto n fi p2 đặc tuyến dòng điện stato i1 fi p2 động cơ điện không đồng bộ một pha thông tin liên lạc và các dịch vụ chỉ tiêu chất lượng 9 tr 25