Neural networks (Computer science)
概要
| 作品: | 655 作品在 395 項出版品 395 種語言 | |
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書目資訊
Neuro-fuzzy and soft computing :a computational approach to learning and machine intelligence /
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Feed-forward neural networks :vector decomposition analysis, modelling, and analog implementation /
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Supervised and unsupervised pattern recognition :feature extraction and computational intelligence /
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Artificial neural networks for civil engineers :advanced features and applications /
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What should be computed to understand and model brain function? :from robotics, soft computing, biology and neuroscience to cognitive philosophy /
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Recurrent neural networks for prediction :learning algorithms, architectures, and stability /
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Application of neural networks and other learning technologies in process engineering /
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Recurrent neural networks for prediction :learning algorithms, architectures, and stability /
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Independent component analyses, wavelets, and neural networks :22-25 April, 2003, Orlando, Florida, USA /
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Neural engineering :computation, representation, and dynamics in neurobiological systems /
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Biological and Artificial Intelligence Environments :15th Italian Workshop on Neural Nets, WIRN VIETRI 2004 /
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Identification of Nonlinear Systems Using Neural Networks and Polynomial ModelsA Block-Oriented Approach /
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Artificial Neural Networks in Pattern RecognitionThird IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings /
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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
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Multiple Classifier Systems6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings /
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Biomimetic Neural Learning for Intelligent RobotsIntelligent Systems, Cognitive Robotics, and Neuroscience /
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Nonlinear Speech Modeling and ApplicationsAdvanced Lectures and Revised Selected Papers /
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Advances in Natural ComputationFirst International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings.I /
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Artificial neural networks - ICANN 200818th international conference, Prague, Czech Republic, September 3-6, 2008; proceedings, Part I /
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Advances in neural networks - ISNN 20085th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I /
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Advances in neural networks - ISNN 20085th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II /
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IJCNN, International Joint Conference on Neural Networks :Baltimore, Maryland, June 7-11, 1992.
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Proceedings of the IASTED International Conference :expert systems and neural networks, August 15-17, 1990 Honolulu, Hawaii /
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1995 International Symposium on Artificial Neural Networks, December 18-20, 1995, National Chiao Tung University, Hsinchu, Taiwan, ROC /
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1993 International Symposium on Artificial Neural Networks, December 20-22, 1993, Hsinchu, Taiwan, R.O.C. /
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Proceeding, tenth IEEE International Conference on Tools with Artificial Intelligence :November 10-12, 1998, Taipei, Taiwan, R.O.C. /
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Multiple classifier systems4th international workshop, MCS 2003, Guildford, UK, June 11-13, 2003 : proceedings /
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Neural nets14th Italian Workshop on Neural Nets, WIRN VIETRI 2003, Vietri sul Mare, Italy, June 4-7, 2003 /
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Multiple classifier systems5th international workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004 : proceedings /
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Neural information processing11th international conference, ICONIP 2004, Calcutta, India, November 22-25, 2004 : proceedings /
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Complex networksresults of 2009 International Workshop on Complex Networks (CompleNet 2009) /
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Multiple classifier systems8th international workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009 ; proceedings /
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Advances in self-organizing maps7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009 : proceedings /
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Independent component analyses, wavelets, unsupervised nano-biomimetic sensors, and neural networks VI :17-19 March 2008, Orlando, Florida, USA /
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Brain informaticsinternational conference, BI 2009 Beijing, China, October 22-24, 2009 : proceedings /
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Multiple classifier systems9th international workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010 : proceedings /
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Artificial neural networksICANN '97 : 7th International Conference, Lausanne, Switzerland, October 8-10, 1997 : proceedings /
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Neural networks in multidimensional domainsfundamentals and new trends in modelling and control /
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Multiple classifier systemsfirst international workshop, MCS 2000, Cagliari, Italy, June 21-23, 2000 : proceedings /
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Artificial neural networks - ICANN 2001International Conference, Vienna, Austria, August 21-25, 2001 : proceedings /
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Emergent neural computational architectures based on neurosciencetowards neuroscience-inspired computing /
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Multiple classifier systemssecond international workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : proceedings /
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Artificial neural networks-ICANN 2002international conference, Madrid, Spain, August 28-30, 2002 : proceedings /
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Multiple classifier systemsthird international workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002 : proceedings /
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Neural nets13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri Sul Mare, Italy, May 30-June 1, 2002 : proceedings /
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New directions in neural networks18th Italian Workshop on Neural Networks: WIRN 2008 /
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Dynamics on and of complex networksapplications to biology, computer science, and the social sciences /
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Neural network-based state estimation of nonlinear systemsapplication to fault detection and isolation /
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Brain informaticsInternational Conference, BI 2010, Toronto, ON, Canada, August 28-30, 2010, proceedings /
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Advances in self-organizing maps8th international workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011 : proceedings /
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Pattern recognitionthird Mexican conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011 : proceedings /
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Brain informaticsinternational conference, BI 2011, Lanzhou, China, September 7-9, 2011 : proceedings /
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Emotional cognitive neural algorithms with engineering applicationsdynamic logic: from vague to crisp /
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Multiple classifier systems10th international workshop, MCS 2011, Naples, Italy, June 15-17, 2011 : proceedings /
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Uncertainty treatment using paraconsistent logicintroducing paraconsistent artificial neural networks /
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Brain informaticsinternational conference, BI 2012, Macau, China, December 4-7, 2012 : proceedings /
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Neural nets WIRN09proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy May 28-30 2009 /
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Intelligent controla hybrid approach based on fuzzy logic, neural networks and genetic algorithms /
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Cognitive informatics in health and biomedicinecase studies on critical care, complexity and errors /
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Proceedings of the fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014
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Growing adaptive machinescombining development and learning in artificial neural networks /
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Brain informatics and healthInternational Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014 : proceedings /
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Artificial neural networks in pattern recognition6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014 : proceedings /
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Isospectral transformationsa new approach to analyzing multidimensional systems and networks /
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Wavelet neural networkswith applications in financial engineering, chaos, and classification /
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Multiple classifier systems12th International Workshop, MCS 2015, Gunzburg, Germany, June 29 - July 1, 2015 : proceedings /
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Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization
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Paraconsistent intelligent-based systemsnew trends in the applications of paraconsistency /
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Brain Informatics and Health8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015 : proceedings /
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Neural information processing22nd International Conference, ICONIP 2015, November 9-12, 2015 : proceedings.Part IV /
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Fuzzy neural networks for real time control applicationsconcepts, modeling and algorithms for fast learning /
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Brain informatics and healthInternational Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016 : proceedings /
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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)
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Guide to convolutional neural networksa practical application to traffic-sign detection and classification /
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MATLAB deep learningwith machine learning, neural networks and artificial intelligence /
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Recurrent neural networks for short-term load forecastingan overview and comparative analysis /
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Brain informaticsInternational Conference, BI 2017, Beijing, China, November 16-18, 2017 : proceedings /
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New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension
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Fuzzy logic augmentation of neural and optimization algorithmstheoretical aspects and real applications /
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New classification method based on modular neural networks with the LVQ algorithm and type-2 fuzzy logic
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Deep Belief Nets in C++ and CUDA C.Volume 1,Restricted Boltzmann machines and supervised feedforward networks
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Evolutionary approach to machine learning and deep neural networksneuro-evolution and gene regulatory networks /
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Brain informaticsInternational Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018 : proceedings /
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Learn Keras for deep neural networksa fast-track approach to modern deep learning with Python /
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Deep learning and convolutional neural networks for medical imaging and clinical informatics
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Effective statistical learning methods for actuaries.III,Neural networks and extensions
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Brain informatics12th International Conference, BI 2019, Haikou, China, December 13-15, 2019 : proceedings /
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Effective statistical learning methods for actuaries.III,Neural networks and extensions /
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Deep neuro-fuzzy systems with Pythonwith case studies and applications from the industry /
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Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 ConferenceProceedings of the EANN 2020 /
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Deep learning projects using TensorFlow 2neural network development with Python and Keras /
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Brain informatics13th International Conference, BI 2020, Padua, Italy, September 19, 2020 : proceedings /
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Artificial mathematical intelligencecognitive, (meta)mathematical, physical and philosophical foundations /
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Effective statistical learning methods for actuaries II :tree-based methods and extensions /
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Artificial intelligence systems based on hybrid neural networkstheory and applications /
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Estimating functional connectivity and topology in large-scale neuronal assembliesstatistical and computational methods /
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Artificial neural networks with TensorFlow 2ANN architecture machine learning projects /
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Convolutional neural networks with Swift for Tensorflowimage recognition and dataset categorization /
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Hands-on question answering systems with BERTapplications in neural networks and natural language processing /
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Hybrid intelligent systems20th International Conference on Hybrid Intelligent Systems (HIS 2020), December 14-16, 2020 /
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Fuzzy logic hybrid extensions of neural and optimization algorithmstheory and applications /
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Proceedings of the 22nd Engineering Applications of Neural Networks ConferenceEANN 2021 /
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Principles of high-performance processor designfor high performance computing, deep neural networks and data science /
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Using artificial neural networks for timeseries smoothing and forecastingcase studies in economics /
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Hybrid intelligent systems :20th International Conference on Hybrid Intelligent Systems (HIS 2020), December 14-16, 2020 /
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Brain informatics14th International Conference, BI 2021, virtual event, September 17-19, 2021 : proceedings /
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Applied deep learning and computer vision for self-driving cars :build autonomous vehicles using deep neural networks and behavior-cloning techniques /
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Hybrid intelligent systems21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14-16, 2021 /
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A few things I know about hera personally machine learning inspired approach to understand surrounding nature /
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Applied deep learning with TensorFlow 2learn to implement advanced deep learning techniques with Python /
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Biomedical and business applications using artificial neural networks and machine learning
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Deep neural networks and data for automated drivingrobustness, uncertainty quantification, and insights towards safety /
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Automated deep learning using neural network intelligencedevelop and design pytorch and tensorflow models using python /
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Images as data for social science researchan introduction to convolutional neural nets for image classification /
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Brain informatics15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022 : proceedings /
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New perspectives on hybrid intelligent system design based on fuzzy logic, neural networks and metaheuristics
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Artificial neural networks and structural equation modelingmarketing and consumer research applications /
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Complex-valued neural networks systems with time delaystability analysis and (anti-)synchronization control /
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Hybrid intelligent systems22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13-15, 2022 /
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Hybrid intelligent systems based on extensions of fuzzy logic, neural networks and metaheuristics
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Banach space valued neural networkordinary and fractional approximation and interpolation /
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Applied Recommender Systems with PythonBuild Recommender Systems with Deep Learning, NLP and Graph-Based Techniques /
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PyTorch recipesa problem-solution approach to build, train and deploy neural network models /
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Shallow and deep learning principlesscientific, philosophical, and logical perspectives /
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Brain informatics16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023 : proceedings /
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Hybrid competitive learning method using the fireworks algorithm and artificial neural networks
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Building computer vision applications using artificial neural networkswith examples in OpenCV and TensorFlow with Python /
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