Artificial neural network models for biomass gasification in fluidized bed gasifiers

neural network models for formation and control

neural network models for formation and control
... trajectory and the associated motor command (torque) can be determined simultaneously That is, the three problems of trajectory formation, coordinates transformation and generation of motor command ... coordinates, (2) transformation of trajectory from visual coordi- nates to body coordinates and (3) generation of motor command Based on physiological information and previous models, computational ... problem but also resolve the inverse kinematics and inverse dynamics problens for redundant manipulators (Fig 2) Hierarchical neural network for control and learning Ito [5] proposed that the cerebrocerebellar...
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Evolution of artificial neural network controller for a boost converter

Evolution of artificial neural network controller for a boost converter
... different artificial intelligence techniques viz., Artificial Neural Networks, Particle Swarm Optimization Algorithm and Genetic Algorithms 2.1 Artificial Neural Networks Artificial neural networks are ... compared to a conventional PI controller and the advantages explained and finally the proposed approach for the design of the architecture of the ANN is compared to that of a basic genetic algorithm ... effectiveness of a PSO based algorithm over a genetic algorithm for this application The performance is evaluated based on parameters such as computational time and number of generations Finally, Chapter...
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Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers

Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers
... of processes inside the gasifier In some cases Please cite this article in press as: Mikulandric´ R et al Artificial neural network modelling approach for a biomass gasification process in fixed bed ... different modelling approaches Process modelling approach Advantages Disadvantages Kinetic models More realistic process description Extensive information regarding process operation All possible process ... measurements Please cite this article in press as: Mikulandric´ R et al Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers Energy Convers Manage...
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ARTIFICIAL NEURAL NETWORK BASED DSS FOR GAME ONLINE PUBLISHING IN VIETNAM

ARTIFICIAL NEURAL NETWORK BASED DSS FOR GAME ONLINE PUBLISHING IN VIETNAM
... offline… Nhà phát hành Thu thập liệu Từ trang tin game tiếng : playpark.vn, gamek.vn, gamethu.vnexpress.net… Từ diễn đàn game: http://forum.gamevn.com/; http://www.gameviet24h.net/ ; Neural networks ... công nghiệp game online VN Sự bão hòa tựa game lựa chọn ngày khắc khe game thủ Nhu cầu khảo sát doanh nghiệp trước phát hành tựa game • Phạm vi tìm hiểu: Artificial Neural Network- based Decision ... trường game online VN • Ý nghĩa thực tiễn • • • Hỗ trợ doanh nghiệp game có nhu cầu định phát hành tựa game Nâng cao chất lượng game, thỏa mãn nhu cầu game thủ Thúc đẩy phát triển thị trường game online...
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backpropagation artificial neural network in c++ - codeproject

backpropagation artificial neural network in c++ - codeproject
... [ -me erc: s] 1-A C 2-sr(ES) qtS*P 3-sr(EP) qtS*P 4-sr(ES*C qtS*PA) 5-sr(ES*PN*C qtS*PP*PA) 6-Fmaueb1 -esr = 7-Fmaueb15 -esr = 8-Fmaueb3 -esr = The minimal number of parameters to start a training ... lyr[]>ern[]>upt[]> * et = aesl-nuosn-otusi-w lyr[]>ern[]>upt[]>iptnuo-dla aesl-nuosn-otusi-pnu_ern>et; } } } oa =lyr[]>ern[]>vl vl aesl-nuosn-oa; lyr[]>ern[]>et =oa *( -oa)*dla aesl-nuosn-dla vl vl et; ////cretwihsfreeylyr///////////// ... lyr[]>ern[]>et; aesl-nuosn-dla d + apa*lyr[]>ern[]>nusi-dpv w = lh aesl-nuosn-ipt[]>wr; lyr[]>ern[]>nusi-dpv=d; aesl-nuosn-ipt[]>wr w /cretwih /orc egt lyr[]>ern[]>nusi-w+ d; aesl-nuosn-ipt[]> = w }...
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A self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

A  self organizing  neural  network  model for  a  mechanism  of pattern  recognition unaffected  by  shift  in position
... with that of the standard pattern situated at a certain location, and that, at the same time, the lower part of this input pattern matches with that of the same standard pattern situated at another ... network has an ability of position- invariant patternrecognition In the field of engineering, many methods for pattern recognition have ever been proposed, and several kinds of optical character readers ... mechanism of pattern recognition in the brain, but he proposes it as a working hypothesis for some neural mechanisms of visual pattern recognition As was stated in Chap 1, the hierarchy model of the...
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Artificial neural network based adaptive controller for DC motors

Artificial neural network based adaptive controller for DC motors
... structure for the motor drive control was introduced Artificial neural network based adaptive controller for DC motors 22 Chapter ANN based Adaptive Controller Chapter ANN BASED ADAPTIVE CONTROLLER ... a2 Figure 3.1 Block diagram for the ANN based Adaptive Controller Artificial neural network based adaptive controller for DC motors 24 Chapter ANN based Adaptive Controller The operation of the ... tested for proper functioning, performance evaluation of the ANNbased adaptive controller is performed through extensive experimentation Artificial neural network based adaptive controller for DC motors...
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Tar abatement for clean syngas production during biomass gasification in a dual fluidized bed

Tar abatement for clean syngas production during biomass gasification in a dual fluidized bed
... diameters and wall thickness with increasing catalyst load lead to an increase in the residence time for tar and hydrocarbons in the catalytic filter, favoring tar abatement However, these parameters ... the clean gas was around 0.25 g/Nm3 (N2 free, d.b.) A catalytically activated ceramic foam as additional reforming step for integration into the hollow-cylindrical space of the catalytically activated ... configurations for catalytic layer filter candles included an additionally integrated catalyst: a catalytically activated Al2O3-based hollow-cylindrical monolith integrated in the hollow cylindrical...
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Development of a new steady state zerodimensional simulation model for woody biomass gasification in a full scale plant

Development of a new steady state zerodimensional simulation model for woody biomass gasification in a full scale plant
... [5] Ahmad AA, Zawawi NA, Kasim FH, Inayat A Assessing the gasification performance of biomass: a review on biomass gasification process conditions, optimization and economic evaluation Renew ... JC, Coronas A Review and analysis of biomass gasification models Renew Sustain Energy Rev 2010;14:2841–51 [8] Baruah D, Baruah DC Modelling of biomass gasification: a review Renew Sustain Energy ... Patra TK, Sheth PN Biomass gasification models for downdraft gasifier: a stateof-the-art review Renew Sustain Energy Rev 2015;50:583–93 [10] Sharma Akr Modeling and simulation of a downdraft biomass...
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Tài liệu Evolving the neural network model for forecasting air pollution time series pdf

Tài liệu Evolving the neural network model for forecasting air pollution time series pdf
... (Section 2.5) was used for evolving the MLP for the forecasting problem (Fig 3) The starting populations were initialised with the random set of MLP models (see the encoding in the Section 2.4) and ... adequate information for achieving the performance described in the results Results 3.2 Validation statistics 3.1 Evolved MLP models The validation statistics is presented for each model and the reference ... Therefore, it can be stated the evolving of model inputs and high-level architecture itself could not improve the performances of the models significantly However, more robust and reasonable models...
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Tài liệu Báo cáo khoa học: "You’ve Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering" doc

Tài liệu Báo cáo khoa học:
... ”want in answer ”adenocarcinoma” in question ”was” in question ”live” in answer Q avg pos votes ”would” in answer ”answer” in question ”just” in answer ”me” in answer ”be” in answer in the” in question ... 2000 Information retrieval on the web ACM Computing Surveys, 32(2) Y Liu, J Bian, and E Agichtein 2008 Predicting information seeker satisfaction in community question answering In Proceedings ... user has received in the past UH: UH more recent rating Rating for the last question before current question UH: UH avg past rating Average rating given when closing questions in the past Category...
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Báo cáo khoa học: "Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora" docx

Báo cáo khoa học:
... observing the alignment a together with the English and French sentences, es and f~, and (a,e,f)~ -1 is a shorthand for from the English words (including the empty one) to the French words (including ... the English and French words, an e m p t y English word, and an e m p t y French word, • E comprises edges from the source to all the English words (including the e m p t y one), edges from all ... one from bandwidth to largeur de bande., and one from bandwidth to either largeur or hap.de (type 2), or even through the two edges from bandwidth to largeur and bande (type 3), secondly, there...
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Báo cáo khoa học: "Exemplar-Based Models for Word Meaning In Context" pptx

Báo cáo khoa học:
... al., 1999) In the current paper, we use an exemplar model for computing distributional representations for word meaning in context, using the context to activate relevant exemplars Comparing representations ... preferences In Proceedings of ACL, pages 683–691, Columbus, OH model for word meaning in context In Proceedings of EMNLP, pages 897–906, Honolulu, HI K Erk and S Pad´ 2009 Paraphrase assessment in o ... bag-of-words (BOW) representations are more informative and noisier, while syntax-based representations deliver sparser and less noisy information Following the hypothesis that richer, topical information...
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a facial expression classification system integrating canny, principal component analysis and artificial neural network

a facial expression classification system integrating canny, principal component analysis and artificial neural network
... (Canny_PCA_ANN) improved the Classification Accuracy than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial ... Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database In this paper, we suggest a new method using Canny, Principal Component Analysis (PCA) and Artificial Neural ... COMPARATION CLASSIFICATION RATE OF METHODS Method Rapid Facial Expression Classification Using Artificial Neural Networks [10] Facial Expression Classification Using Multi Artificial Neural Network...
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facial expression classification based on multi artificial neural network

facial expression classification based on multi artificial neural network
... Artificial Neural Network (MANN) Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial Neural Network (MANN), applying for pattern or image classification ... parameters This is a wrong result classification One other approach is popular at present is to use Artificial Neural Network for the pattern classification Artificial Neural Network will be trained ... international ACM SIGIR conference on Research and development in information retrieval (2005) 544551 Nguyen, V.H.: Facial Expression Based on Wavelet Transform, the 2nd International Congress on Image...
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