"Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks	Taras Kowaliw; Nicolas Bredeche; René Doursat	2014	Springer Berlin Heidelberg
Neural networks and learning machines	Haykin, Simon	2008;2009	Pearson Education
Neural Networks and Learning Machines	Simon O. Haykin	2008	Prentice Hall
Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
Delay learning in artificial neural networks	Catherine E. Myers	1992	Chapman & Hall
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
Artificial Neural Networks	Hugh Cartwright	2nd ed. 2015	Springer New York
Artificial Neural Networks	Hugh Cartwright	3rd ed. 2021	Springer US
Artificial neural networks /	Schalkoff, Robert J.	[1997], ©1997.	McGraw-Hill,
Artificial Neural Networks in Hydrology	R.S. Govindaraju; A.R. Rao	2000	Springer Netherlands
Artificial Neural Networks in Biomedicine	Paulo J. G. Lisboa; Emmanuel C. Ifeachor; Piotr S. Szczepaniak	2000	Springer London
Experiments in artificial neural networks	Ed Rietman	1988	Tab Books
Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications	Nicolaos Karayiannis; Anastasios N. Venetsanopoulos	1993	Springer US
Artificial Neural Networks, 1991	K. Mäkisara; O. Simula; J. Kangas; T. Kohonen	1991	North-Holland
Artificial Neural Networks, 1992	I. Aleksander and J. Taylor	1992	North-Holland
Artificial Neural Networks (ICANN)		2008	Springer
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence	Phil Kim	1st ed.	Apress
Artificial neural networks in finance and manufacturing /	Kamruzzaman, Joarder.; Begg, Rezaul.; Sarker, Ruhul A.	c2006.	Idea Group Pub.,
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Growing Artificial Neural Networks	John Mixter; Ali Akoglu	Advances in Artificial Intelligence and Applied Cognitive Computing: Proceedings from ICAI’20 and ACC’20	Hamid R. Arabnia; Ken Ferens; David de la Fuente; Elena B. Kozerenko; José Angel Olivas Varela; Fernando G. Tinetti	1st ed. 2021	Springer International Publishing
Artificial Learning in Artificial Neural Networks		Human Memory Modeled With Standard Analog and Digital Circuits: Inspiration for Man-made Computers	John Robert Burger	2009	John Wiley & Sons
Learning in Artificial Neural Networks	Ronan G. Reilly	Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Learning in Artificial Neural Networks	Antônio Pádua Braga	ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence	Adam Gacek; Witold Pedrycz	2012	Springer London
Combining Artificial Neural Networks and Fuzzy Sets	Stefania Tomasiello; Witold Pedrycz; Vincenzo Loia	Contemporary Fuzzy Logic: A Perspective of Fuzzy Logic with Scilab	Stefania Tomasiello; Witold Pedrycz; Vincenzo Loia	1st ed. 2022	Springer International Publishing
63 Learning in Artificial Neural Networks		Decision Support And Business Intelligence Systems	Dursun Delen Efraim Turban, Ramesh Sharda	2010	Pearson Education
Learning in Artificial and Biological Neural Networks	Konstantin V. Baev	Biological Neural Networks: Hierarchical Concept of Brain Function	Konstantin V. Baev	1998	Birkhäuser Boston
Machine Learning: Artificial Neural Networks	Donald J. Norris	Beginning Artificial Intelligence with the Raspberry Pi	Donald J. Norris	1st ed.	Apress
Artificial Neural Networks and Learning Systems	Yi Chen; Yun Li	Computational Intelligence Assisted Design: In Industrial Revolution 4. 0	Yi Chen; Yun Li	2017	Routledge
Artificial neural networks and deep learning		Mastering Python: Write powerful and efficient code using the full range of Python's capabilities, 2nd Edition	Rick van Hattem	2022	Packt
Deep Learning and Artificial Neural Networks	Woon Siong Gan	Signal Processing and Image Processing for Acoustical Imaging	Woon Siong Gan	1st ed. 2020	Springer Nature Singapore
Deep Learning and Artificial Neural Networks	Shamshad Ansari	Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python	Shamshad Ansari	1st ed.	Apress
Artificial Intelligence, Learning Computers, Artificial Neural Networks	Alfio Quarteroni	Algorithms for a New World: When Big Data and Mathematical Models Meet	Alfio Quarteroni	1st ed. 2022	Springer International Publishing
Combining Multidimensional Scaling with Artificial Neural Networks	Gintautas Dzemyda; Olga Kurasova; Julius Žilinskas	Multidimensional Data Visualization: Methods and Applications	Gintautas Dzemyda; Olga Kurasova; Julius Žilinskas	2012	Springer New York
Task Decomposition and Correlations in Growing Artificial Neural Networks	Jan Matti Langet; Hans-Michael Voigt; Dietrich Wolft	ICANN ’94: Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26–29 May 1994 Volume 1, Parts 1 and 2	Maria Marinaro; Pietro G. Morasso	1994	Springer London
Support Vector Machines versus Artificial Neural Networks		Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support	Ramesh Sharda, Dursun Delen, Efraim Turban	2019	Pearson
Support Vector Machines versus Artificial Neural Networks		Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Edition)	Ramesh Sharda, Dursun Delen, Efraim Turban	2019	Pearson
Support Vector Machines versus Artificial Neural Networks		Analytics, data science, & artificial intelligence: systems for decision support	Dursun Delen; Ramesh Sharda; Efraim Turban	2020	Pearson
Support Vector Machines Versus Artificial Neural Networks		Business intelligence and analytics: systems for decision support	Sharda, Ramesh; Turban, Efraim; Delen, Dursun; Aronson, Janine	2013;2015	Pearson
Artificial neural networks: architectures and learning rules	Johan A. K. Suykens; Joos P. L. Vandewalle; Bart L. R. De Moor	Artificial Neural Networks for Modelling and Control of Non-Linear Systems	Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de Moor	1996	Springer US
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks" - similar Books and Chapters