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Results for «neural»:

Total: 100 results - 0.049 seconds

Neural Networks Software Market 100%

Neural Networks Software Market Executive Summary (1/2) Knowledge Based Value (KBV) Research Global Neural Networks Software Market Full Report:


05/03/2018 www.pdf-archive.com

Neural Network Market 98%

Neural Network Market Executive Summary (1/2) Knowledge Based Value (KBV) Research Global Neural Network Market Full Report:


29/08/2017 www.pdf-archive.com

CSB NN slides 95%

CSB NN slides Using a neural network on ”Coders Strike Back” By bleuj Introduction Using a neural network on ”Coders Strike Back” What we try to achieve here Machine learning problem Main parts of the work because why not Gathering data from a good bot By bleuj 16 June 2016 Reference bot Simulating things and creating data outside of CodinGame Building the neural network function Neural network architecture Learning a neural network function Importing the neural network on


16/06/2016 www.pdf-archive.com

Basics of Neural Nets 94%

Basics of Neural Nets l WORKSHOP B Y L O U I S E F R A N C I S The Basics of Neural Networks Demystified RTIFICIAL NEURAL NETWORKS A are the intriguing new high-tech tool for mining hidden gems in data.


23/03/2018 www.pdf-archive.com

2168-4172-1-PB 91%

2168 4172 1 PB Computer Engineering and Intelligent Systems www.iiste.org ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online) Vol 3, No.7, 2012 Implementation of a Modified Counterpropagation Neural Network Model in Online Handwritten Character Recognition System *Fenwa O.D., Emuoyibofarhe J.


30/12/2013 www.pdf-archive.com

IJEAS0405001 90%

2394-3661, Volume-4, Issue-5, May 2017 Artificial Neural Networks Usha Kumari, Dr.


10/09/2017 www.pdf-archive.com

Post doc Position Baffet Lab Neural Stem cells 89%

Post doc Position Baffet Lab Neural Stem cells Postdoc position to study mouse neural stem cells Baffet lab, Institut Curie, Paris Our lab focuses on the mechanisms governing neocortex development, with a strong interest on the role and regulation of the neural stem cells.


19/02/2016 www.pdf-archive.com

Forex robot TFOT algorithm 88%

Forex robot TFOT algorithm Forex robot TFOT – algorithm explanation  Forex robot TFOT contains several modules:  • • • • Scalping strategy  Breakdown strategy  BackPropagation Neural Network  Forex news filter    ForexFactory  Calendar    News Module  Scalping Strategy    Neural  Network    Breakdown strategy      Trading signal can be generated by scalping strategy or (and) breakdown strategy. If signal generate scalping strategy,  robot will check all important news for EUR and USD currencies, and if in the near future there are no important news,  robot will open order. Robot will open order with full lot size ,if neural network passes a signal and with 50% (adjustable)  of lot size if neural network did not pass a signal. For this strategy we use trailing stop loss based ATR indicator.   Same algorithm for breakdown strategy, but with one exception: we do not use news filter for this strategy.   News Module  News module based on FF news indicator. Indicator loads news calendar from forexfactory website. News module has a  lot of adjustable parameters:  


08/04/2013 www.pdf-archive.com

DeepLearningforRegression 87%

I’ve gotten quite a few requests recently for (a) examples using neural networks for regression rather than classification, and (b) examples using time series.


28/09/2016 www.pdf-archive.com

IJETR2161 87%

2321-0869 (O) 2454-4698 (P), Volume-7, Issue-5, May 2017 Time Series Forecasting Using Back Propagation Neural Network with ADE Algorithm Jaya Singh, Pratyush Tripathi  require a priori specific assumptions about the underlying model.


09/09/2017 www.pdf-archive.com

IJETR2192 86%

The main focus of the paper is to describe the developed and dynamic method of designing finite impulse response filter with automatic rapid and less error by an efficient genetic and neural approach.


09/09/2017 www.pdf-archive.com

25I14-IJAET0514200 v6 iss2 780to788 86%



13/05/2013 www.pdf-archive.com

IJETR2275 84%

It describe the developed and dynamic method of designing finite impulse response filter with automatic rapid and less error by an efficient genetic and neural approach.


09/09/2017 www.pdf-archive.com

Basic Neural Network 84%

Basic Neural Network Basic Neural Network Devlin Wyatt Goal:


16/02/2017 www.pdf-archive.com

15N19-IJAET0319399 v7 iss1 127-134 84%

22311963 SIMULTANEOUS LEAK DETECTION WITH MAGNITUDE AT TWO POSITIONS FOR FLOW OF WATER IN PIPELINE USING ARTIFICIAL NEURAL NETWORK Shekhar Pandharipande, Prashant Rai and Siddharth Sharma Department of Chemical Engineering, Laxminarayan Institute of Technology, RTM Nagpur University, Nagpur, India ABSTRACT Chemical process industries have complex structures comprising of equipments &


04/07/2014 www.pdf-archive.com

Cohen Dennett - Consciousness function (2011) 83%

Dennett2 1 2 Vision Sciences Laboratory, Department of Psychology, William James Hall, Harvard University, Cambridge, MA, 02138, USA Center for Cognitive Studies, Department of Philosophy, Tufts University, Medford, MA, 02155, USA Numerous theories of consciousness hold that there are separate neural correlates of conscious experience and cognitive function, aligning with the assumption that there are ‘hard’ and ‘easy’ problems of consciousness.


24/11/2015 www.pdf-archive.com

04 8Oct15 548 554-940-1-RV 82%

10.11591/eei.v5i1.xxxx  25 New Model Reference Adaptive System Speed Observer for Field-Oriented Control Induction Motor Drives Using Neural Networks 1 Hossein Rahimi Khoei*1, Mahdi Zolfaghari2 Faculty of Electrical Engineering, Technical and Professional University Shahrekord, Shahrekord, Iran 2 Tehran polytechnic, Tehran, Iran *Corresponding author, e-mail:


25/09/2016 www.pdf-archive.com

Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant 81%

Hybrid Neural Fuzzy Design Based Rotational Speed Control of a Tidal Stream Generator Plant sustainability Article Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant Khaoula Ghefiri 1,2, * , Izaskun Garrido 2 , Soufiene Bouallègue 1 , Joseph Haggège 1 and Aitor J.


17/10/2018 www.pdf-archive.com

12I18-IJAET0118714v6 iss6 2427-2432 81%



04/07/2014 www.pdf-archive.com

4N13-IJAET0313474 revised 80%

2231-1963 OPTIMUM LEARNING RATE FOR CLASSIFICATION PROBLEM WITH MLP IN DATA MINING Lalitha Saroja Thota1 and Suresh Babu Changalasetty2 1 2 Department of Computer Science, King Khalid University, Abha, KSA Department of Computer Engineering, King Khalid University, Abha, KSA ABSTRACT Neural networks have been used effectively in a number of applications including remote sensing, expert systems, image processing, data mining, decision systems etc.


13/05/2013 www.pdf-archive.com

CambridgeDeclarationOnConsciousness 80%

 The neural substrates of emotions do not appear to be confined to cortical structures.


14/03/2018 www.pdf-archive.com

ResearchPaper 79%

ResearchPaper Learning Ticket Similarity with Context-sensitive Deep Neural Networks Iheb Ben Abdallah Durga Prasad Muni, Suman Roy, Yeung Tack Yan John John Lew Chiang, Navin Budhiraja Computer Science and Electrical Engineering, Ecole CentraleSupelec Grande Voie des Vignes, Chˆatenay-Malabry Paris, France 92290 Iheb.Benabdallah@supelec.fr Infosys Limited #44 Electronic City, Hosur Road Bangalore, India 560100 {DurgaPrasad Muni,Suman Roy,Yeung Chiang,Navin.


11/10/2017 www.pdf-archive.com

Artificial neural networks in petroleum engineering 78%

Artificial neural networks in petroleum engineering Petroleum University of Technology Abadan Faculty of Petroleum Engineering (Shahid Tondgooyan) Department of Petroleum Exploration Engineering Prediction of Crude Oils PVT Properties Using Artificial Neural Networks Master of Science Thesis By:


28/07/2015 www.pdf-archive.com

Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil-Dissolved Gas Concentrations 78%

Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil Dissolved Gas Concentrations energies Article Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil-Dissolved Gas Concentrations Fabio Henrique Pereira 1,2,3, *, Francisco Elânio Bezerra 2 , Shigueru Junior 3 ID , Josemir Santos 3 , Ivan Chabu 3 , Gilberto Francisco Martha de Souza 3 ID , Fábio Micerino 4 and Silvio Ikuyo Nabeta 3 1 2 3 4 * Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo 01504-000, Brazil Industrial Engineering Graduate Program, Universidade Nove de Julho, São Paulo 01504-000, Brazil;


16/08/2018 www.pdf-archive.com

Final Image Based Report Mbuvha Wang 2016 78%

Final Image Based Report Mbuvha Wang 2016 Convolutional Neural Networks for Distracted Driver Detection 000 001 002 000 001 002 003 003 004 Rendani Mbuvha, Huijie Wang 004 005 005 KTH Royal Institue of Technology 006 006 007 007 008 008 009 Abstract.


12/06/2016 www.pdf-archive.com