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Integration of swarm intelligence and artificial neutral network

Hackensack, N.J. ; London : World Scientific, 2011. 2011

Intelligence emerging : adaptivity and search in evolving neural systems

Downing, Keith L., author.
Cambridge, Massachusetts ; London, England : The MIT Press, 2015. 2015

Internet-based intelligent information processing systems

New Jersey ; London : World Scientific, 2003. 2003

Investigation of automated task learning, decomposition and scheduling

Livingston, David L.
Norfolk, Va. : Old Dominion University Research Foundation, [1990] 1990

Kohonen maps

Amsterdam ; New York : Elsevier, 1999. 1999

Memristive devices for brain-inspired computing : from materials, devices, and circuits to applicati

Duxford ; Cambridge, MA : Woodhead Publishing, [2020] 2020

Meta-learning : theory, algorithms and applications

London ; San Diego : Academic Press, an imprint of Elsevier, [2023] 2023

Nature-inspired methods in chemometrics : genetic algorithms and artificial neural networks

Amsterdam ; Boston : Elsevier, 2003. 2003

Neural and fuzzy logic control of drives and power systems

Oxford [England] ; Boston, MA : Newnes, 2002. 2002

Neural nets and chaotic carriers

Whittle, Peter, 1927-
London : Imperial College Press, c2010. 2010

Neural Nets WIRN09 proceedings of the 19th Italian workshop on neural nets, Vetri Sul Mare, Salerno,

Amsterdam : IOS Press, c2009. 2009

Neural network modeling and identification of dynamical systems

Tiumentsev, Yury V., author.
London : Academic Press, [2019] 2019

Neural networks

Picton, Philip.
Basingstoke, Hampshire ; New York : Palgrave, 2000. 2000

Neural networks : a systematic introduction

Rojas, Raul, 1955- author.
Berlin, Heidelberg, [Germany] : Springer, 1996. 1996

Neural networks and animal behavior

Enquist, Magnus.
Princeton : Princeton University Press, [2005] 2005

Neural networks and pattern recognition

San Diego, Calif. : Academic Press, ©1998. 1998

Neural networks and psychopathology connectionist models in practice and research

Cambridge ; New York : Cambridge University Press, 1998. 1998

Neural networks an introductory guide for social scientists

Garson, G. David.
London : Sage Publications, 1998. 1998

Neural networks for intelligent signal processing

Zaknich, Anthony.
River Edge, NJ : World Scientific, c2003. 2003

Neural networks for statistical modeling

Smith, Murray, 1944-
London ; Boston : International Thomson Computer Press, c1996. 1996

Neural networks in chemical reaction dynamics

Oxford ; New York : Oxford University Press, c2011. 2011

Neural networks modeling and control : applications for unknown nonlinear delayed systems in discret

Rios, Jorge D., author.
Amsterdam : Academic Press, 2019. 2019

Neural systems for control

San Diego : Academic Press, ©1997. 1997

Neural Systems for Robotics.

Academic Press 1997. 1997

Neuro-inspired information processing

Cappy, Alain, author.
London ; Hoboken, New Jersey : ISTE : Wiley, [2020] 2020

Neurobionics : the biomedical engineering of neural prostheses

Chichester, England : Wiley Blackwell, 2016. 2016

Neuromorphic olfaction

Boca Raton : CRC Press, 2013. 2013

New directions in statistical signal processing from systems to brain

Cambridge, Mass. : MIT Press, c2007. 2007

Outcome prediction in cancer

Amsterdam ; Boston : Elsevier, 2007. 2007

Perception-action cycle : models, architectures and hardware

New York ; London : Springer, c2011. 2011

Predicting diameter distributions of longleaf pine plantations a comparison between artificial neura

Asheville, NC : U.S. Dept. of Agriculture, Forest Service, Southern Research Station, [2001] 2001

Principles and labs for deep learning

Huang, Shih-Chia.
London : Academic Press, 2021. 2021

Principles of artificial neural networks

Graupe, Daniel.
Singapore ; Hackensack, N.J. : World Scientific, c2007. 2007

Principles of artificial neural networks

Graupe, Daniel.
Singapore ; Hackensack, N.J. : World Scientific, 2013. 2013

Real-time multi-chip neural network for cognitive systems

Denmark : River Publishers, [2019] 2019

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with

Dutta, Sayon, author.
Birmingham ; Mumbai : Packt Publishing, 2018. 2018

Semi-Empirical Neural Network Modeling and Digital Twins Development

Tarkhov, Dmitriy.
London, U.K. ; San Diego, Calif. : Academc Press, an imprint of Elsevier, [2020] 2019

State of the art in neural networks and their applications.

London : Academic Press, 2021. 2021

Statistical mechanics of learning

Engel, A. (Andreas), 1957-
Cambridge, U.K. ; New York : Cambridge University Press, 2001. 2001

Topological machine learning methods for power system responses to contingencies : preprint

Bush, Brian W., author.
Golden, CO : National Renewable Energy Laboratory, 2021. 2021

Trends in deep learning methodologies : algorithms, applications, and systems

London : Academic Press, 2021. 2021

Universality and emergent computation in cellular neural networks

Dogaru, Radu.
Singapore ; River Edge, NJ : World Scientific, c2003. 2003

Using neural networks in software repositories

[Houston, Tex.] : Research Institute for Computing and Information Systems, University of Houston-Clear Lake, [1992] 1992

Wavelet neural networks : with applications in financial engineering, chaos, and classification

Alexandridis, Antonis K., author.
Hoboken, New Jersey : John Wiley & Sons, 2014. 2014

What should be computed to understand and model brain function? from robotics, soft computing, biolo

Singapore ; River Edge, NJ : World Scientific, c2001. 2001

Wind power plant prediction by using neural networks preprint

[Golden, Colo.] : National Renewable Energy Laboratory, [2012] 2012