"Deterministic and Stochastic Logarithmic Barrier Function Methods for Neural Network Training"

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Book	Author(s)	Year	Publisher
Linear Systems Control: Deterministic and Stochastic Methods	Elbert Hendricks; Ole Jannerup; Paul Haase Sørensen	2008	Springer Berlin Heidelberg
Solution of large-scale multicommodity network flow problems via a logarithmic barrier function decomposition	Heinrich Lange	1988	Naval Postgraduate School
Molecular Dynamics: With Deterministic and Stochastic Numerical Methods	Ben Leimkuhler, Charles Matthews	2015	Springer
Molecular Dynamics: With Deterministic and Stochastic Numerical Methods	Ben Leimkuhler; Charles Matthews	2015	Springer International Publishing
Mathematical methods for neural network analysis and design /	Golden, Richard M.	[1996], ©1996.	MIT Press,
Neural Network Methods for Natural Language Processing	Yoav Goldberg		Springer International Publishing
Neural Network Methods for Natural Language Processing	Yoav Goldberg	2017	Morgan & Claypool
Neural network methods for natural language processing	Goldberg, Yoav	2017	Morgan & Claypool
Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches	Johannes Müller, Christina Kuttler (auth.)	2015	Springer-Verlag Berlin Heidelberg
Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches	Johannes Müller; Christina Kuttler	1st ed. 2015	Springer Berlin Heidelberg
Deterministic and Stochastic Optimal Control	Wendell Fleming; Raymond Rishel	1975	Springer New York
Artificial neural network training and software implementation techniques	Ali Kattan	2011	Nova Science Publishers
Deterministic and stochastic metapopulation models for dengue fever	Torre, Carlos Alan	2009	UMI Dissertation Publishing / ProQuest LLC
An Introduction to Neural Network Methods for Differential Equations	Neha Yadav; Anupam Yadav; Manoj Kumar	2015	Springer Netherlands
Dynamic Optimization: Deterministic and Stochastic Models	Karl Hinderer; Ulrich Rieder; Michael Stieglitz	1st ed. 2016	Springer International Publishing
Deterministic and Stochastic Time-Delay Systems	El-Kebir Boukas; Zi-Kuan Liu	2002	Birkhäuser Boston
Foundations of Deterministic and Stochastic Control	Jon H. Davis	2002	Birkhäuser Boston
Radio-Frequency Human Exposure Assessment: From Deterministic to Stochastic Methods	Joe Wiart	2016	John Wiley & Sons
Skin Barrier Function	T. Agner	2016-02-04	S. Karger AG
Heuristics for complex inventory systems: deterministic and stochastic problems /	Sluis, Erik van der.	1993.	Thesis Publishers,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deterministic and Stochastic Logarithmic Barrier Function Methods for Neural Network Training	Theodore B. Trafalis; Tarek A. Tutunji	Parallel Computing in Optimization	A. Migdalas; Panos M. Pardalos; Sverre Storøy	1997	Springer US
2114 Logarithmic Barrier Function		Practical methods for optimal control and estimation using nonlinear programming	Betts J.T.	2010	SIAM
Neural Network Training Using Stochastic PSO	Xin Chen; Yangmin Li	Neural Information Processing: 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II	Jun Wang; Laiwan Chan; DeLiang Wang	2006	Springer Berlin Heidelberg
Stochastic Neural Network	Zhong-Yuan Zhang	Encyclopedia of Systems Biology	Werner Dubitzky; Olaf Wolkenhauer; Hiroki Yokota; Kwang-Hyun Cho	2013	Springer New York
Barrier Function Methods		Nonlinear Optimization with Financial Applications	Michael Bartholomew-Biggs		Springer US
Barrier Function Methods	Michael Bartholomew–Biggs	Nonlinear Optimization with Engineering Applications	Michael Bartholomew-Biggs	2008	Springer US
Neural networks: Deterministic and stochastic dynamics	Bruno Apolloni; Alberto Bertoni; Paola Campadelli; Diego de Falco	Dynamics and Stochastic Processes: Theory and Applications. Proceedings of a Workshop Held in Lisbon, Portugal October 24–29, 1988	Ricardo Lima; Ludwig Streit; Rui Vilela Mendes	1990	Springer Berlin Heidelberg
Neural networks: Deterministic and stochastic dynami		Dynamics and Stochastic Processes Theory and Applications: Proceedings of a Workshop Held in Lisbon, Portugal October 24–29, 1988	Sergio Albeverio, Teresa Arede (auth.), Ricardo Lima, Ludwig Streit, Rui Vilela Mendes (eds.)	1990	Springer Berlin Heidelberg
A New Stochastic PSO Technique for Neural Network Training	Yangmin Li; Xin Chen	Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I	Jun Wang; Zhang Yi; Jacek M. Zurada; Bao-Liang Lu; Yin Hujun	2006	Springer Berlin Heidelberg
Parallel Methods of Training for Multilayer Neural Network	ElMostafa Daoudi⋆; ElMiloud Jaâra	Euro-Par’ 99 Parallel Processing: 5th International Euro-Par Conference Toulouse, France, August 31–September 3, 1999 Proceedings	Patrick Amestoy; Philippe Berger; Michel Daydé; Daniel Ruiz; Iain Duff; Valérie Frayssé; Luc Giraud	1999	Springer Berlin Heidelberg
Dynamic Search Trajectory Methods for Neural Network Training	Y. G. Petalas; D. K. Tasoulis; M. N. Vrahatis	Artificial Intelligence and Soft Computing — ICAISC 2004: 7th International Conference Zakopane, Poland, June 7–11, 2004 Proceedings	Leszek Rutkowski; Jörg Siekmann; Ryszard Tadeusiewicz; Lotfi A. Zadeh	2004	Springer Berlin Heidelberg
Dynamic Search Trajectory Methods for Neural Network Training		Artificial Intelligence and Soft Computing -- Icaisc 2004	Rutkowski L. (Ed), Zadeh L. A. (Ed)	2004	Springer
Neural Network Training	Yoav Goldberg	Neural Network Methods for Natural Language Processing	Yoav Goldberg		Springer International Publishing
Training neural network	Shih-Chia Huang; Trung-Hieu Le	Principles and Labs for Deep Learning	Shih-Chia Huang and Trung-Hieu Le	2021	Academic Press
Neural network training		Machine Learning with Go Quick Start Guide: Hands-on techniques for building supervised and unsupervised machine learning workflows	Michael Bironneau, Toby Coleman	2019	Packt Publishing
Neural network training		Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2. x and PyTorch 1. 6	Ben Auffarth	2020	Packt Publishing
Training neural network		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Neural network training		Hands-On Neural Network Programming with C#: Add powerful neural network capabilities to your C# enterprise applications (English Edition)	Matt R. Cole	2018	Packt Publishing
Barrier-Function and Penalty-Function Methods	Charles Byrne	Iterative Optimization in Inverse Problems	Charles Byrne	2014	Routledge
Comparison Between Deterministic and Stochastic Methods		The induction machine handbook /	Boldea, I.; Nasar, S. A.	2002.	CRC Press,
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