"Object Recognition Using Feedforward Neural Network"

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Book	Author(s)	Year	Publisher
Feedforward Neural Network Methodology	Terrence L. Fine	1999	Springer New York
Nonlinear dynamical systems: feedforward neural network perspectives	Irwin W. Sandberg; James T. Lo; Craig L. Fancourt; José C. Principe; Shigeru Katagiri; Simon Haykin	2001	John Wiley
Advances in pattern recognition systems using neural network technologies /	Guyon, Isabelle.; Wang, Patrick S-P.	[1993], ©1993.	World Scientific,
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1993	University of Illinois at Urbana-Champaign
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Neural network analysis using Simulnet	Edward J. Rzempoluck	1998	Springer
Hierarchical Neural Network Structures for Phoneme Recognition	Daniel Vasquez; Rainer Gruhn; Wolfgang Minker	2013	Springer Berlin Heidelberg
Pattern Recognition Using Neural and Functional Networks	Vasantha Kalyani David; S. Rajasekaran	2009	Springer Berlin Heidelberg
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks	Russell Reed; Robert J Marks	1999	MIT Press,
Neural smithing: supervised learning in feedforward artificial neural networks /	Reed, Russell D.; Marks, Robert J.,	[1999], ©1999.	The MIT Press,
Neural smithing: supervised learning in feedforward artificial neural networks	Russell D. Reed	1999	The MIT Press
Robotic Object Recognition Using Vision and Touch	Peter K. Allen	1987	Springer US
Neural Network Data Analysis Using Simulnet™	Edward J. Rzempoluck	1998	Springer New York
Object Recognition	Tam Phuong Cao	2011-04-01	IntechOpen
Human Face Recognition Using Third-Order Synthetic Neural Networks	Okechukwu A. Uwechue; Abhijit S. Pandya	1997	Springer US
Visual Object Recognition	Kristen Grauman; Bastian Leibe		Springer International Publishing
Visual object recognition	Kristen Lorraine Grauman	2011	Morgan & Claypool
Natural object recognition	Thomas M. Strat	1992	Springer-Verlag
Natural Object Recognition	Thomas M. Strat	1992	Springer New York
Implementation of fuzzy inference systems using neural network techniques	Billy E. Hudgins	1992	Naval Postgraduate School;Available from the National Technical Information Service
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Feedforward Neural Network		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Feedforward Neural Network		Modeling in Mathematics	Olga Moreira (editor)	2019	Arcler Press
OBJECT RECOGNITION BY NEURAL NETWORK	Z. NAGY	Intelligent Components and Instruments for Control Applications 1994	C. Banyasz	1994	Pergamon
Feedforward Artificial Neural Network		A Comprehensive Guide to Neural Network Modeling	Steffen Skaar (editor)	2020	Nova Science Pub Inc
Feedforward Neural Network Construction Using Cross Validation			MIT Press	2001	MIT Press
PCA and LDA Based Face Recognition Using Feedforward Neural Network Classifier	Alaa Eleyan; Hasan Demirel	Multimedia Content Representation, Classification and Security: International Workshop, MRCS 2006, Istanbul, Turkey, September 11-13, 2006, Proceedings	Bilge Gunsel; Anil K. Jain; A. Murat Tekalp; Bulent Sankur	2006	Springer Berlin Heidelberg
Palmprint Recognition Using Polynomial Neural Network	LinLin Huang; Na Li	Advances in Neural Networks -- ISNN 2010: 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II	James Kwok; Liqing Zhang; Bao-Liang Lu	2010	Springer Berlin Heidelberg
Iris Recognition Using LVQ Neural Network	Seongwon Cho; Jaemin Kim	Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II	Jun Wang; Zhang Yi; Jacek M. Zurada; Bao-Liang Lu; Yin Hujun	2006	Springer Berlin Heidelberg
Image Recognition Using Synergetic Neural Network	Shuiping Gou; Licheng Jiao	Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II	Jun Wang; Xiaofeng Liao; Zhang Yi	2005	Springer Berlin Heidelberg
Leaf Recognition Using Artificial Neural Network	B. Shabari Shedthi; M. Siddappa; Surendra Shetty	New Trends in Computational Vision and Bio-inspired Computing: Selected works presented at the ICCVBIC 2018, Coimbatore, India	S. Smys; Abdullah M. Iliyasu; Robert Bestak; Fuqian Shi	1st ed. 2020	Springer International Publishing
Speech Recognition Using Artificial Neural Network	Shoeb Hussain; Ronaq Nazir; Urooj Javeed; Shoaib Khan; Rumaisa Sofi	Intelligent Sustainable Systems: Proceedings of ICISS 2021	Jennifer S. Raj; Ram Palanisamy; Isidoros Perikos; Yong Shi	1st ed. 2022	Springer Nature Singapore
Signature Recognition Using Backpropagation Neural Network	Yucel Inan; Boran Sekeroglu	13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018	Rafik A. Aliev; Janusz Kacprzyk; Witold Pedrycz; Mo. Jamshidi; Fahreddin M. Sadikoglu	1st ed. 2019	Springer International Publishing
Promoter Recognition Using Neural Network Approaches	T. Sobha Rani; S. Durga Bhavani; S. Bapi Raju	Computational Intelligence and Pattern Analysis in Biology Informatics	Ujjwal Maulik	2010	John Wiley & Sons
A Multilayer Feedforward Fuzzy Neural Network	Aydoğan Savran	Artificial Intelligence and Neural Networks: 14th Turkish Symposium, TAINN 2005, Izmir, Turkey, June 16-17, 2005, Revised Selected Papers	F. Acar Savaci	2006	Springer Berlin Heidelberg
104 Example Of Feedforward Neural Network		Fundamentals of Machine Learning using Python	Euan Russano, Elaine Ferreira Avelino	2019	Arcler Press
A simple feedforward neural network architecture		Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition	Stefan Jansen	2020	Packt Publishing
312 Feedforward Neural Network (FNN) Model		Nanotechnology for Electronics, Biosensors, Additive Manufacturing and Emerging Systems Applications (Selected Topics in Electronics and Systems)	Faquir C Jain (editor), C Broadbridge (editor), M Gherasimova (editor)	2021	World Scientific Publishing Company
95 Supervised Feedforward Fuzzy Neural Network		Fundamentls of Digital Image Processing	S. Annadurai, R. Shanmugalakshmi	2007	Pearson Education
1232 Training of Feedforward Neural Network		Modern power electronics and AC drives	Bimal K. Bose	2002	Prentice Hall PTR
4. Enhancing feedforward neural network training	C. Peel, M. J. Willis and M. T. Tham	Application of neural networks to modelling and control /	Page, G. F.; Gomm, J. B.; Williams, D.	1993.	Chapman & Hall,
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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