Journal ArticleDOI
Neural networks
Alberto Prieto,Beatriz Prieto,Eva M. Ortigosa,Eduardo Ros,Francisco J. Pelayo,Julio Ortega,Ignacio Rojas +6 more
TLDR
The development and evolution of different topics related to neural networks is described showing that the field has acquired maturity and consolidation, proven by its competitiveness in solving real-world problems.About:
This article is published in Neurocomputing.The article was published on 2016-11-19. It has received 184 citations till now. The article focuses on the topics: Neural modeling fields & Nervous system network models.read more
Citations
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Journal ArticleDOI
A Novel Similar Character Discrimination Method for Online Handwritten Urdu Character Recognition in Half Forms
TL;DR: A novel similar character discrimination method for online handwritten Urdu character recognition which includes pre-classification, feature extraction and fine classification process and achieves an overall accuracy of 96% on a large-scale self-collected dataset is proposed.
Journal ArticleDOI
Enhancing EEG Signals in Brain Computer Interface Using Intrinsic Time-Scale Decomposition
Eltaf Abdalsalam Mohamed,Mohd Zuki Yusoff,Ibrahim Khalil Adam,Elnazeer Ali Hamid,Fares Al-Shargie,Muhammad Muzammel +5 more
Journal ArticleDOI
Post-combustion artificial neural network modeling of nickel-producing multiple hearth furnace
Deynier Montero Góngora,Jo Van Caneghem,Dries Haeseldonckx,Ever Góngora Leyva,Mercedes Ramírez Mendoza,Abhishek Dutta +5 more
TL;DR: A neural model of the post-combustion sub-process is built and served to increase the process efficiency of the industrial furnace, capable of predicting the temperature of hearth four and six with errors of 0.6 and 0.3 °C, respectively.
Journal ArticleDOI
Feedforward–Feedback Controller Based on a Trained Quaternion Neural Network Using a Generalised HR Calculus with Application to Trajectory Control of a Three-Link Robot Manipulator
TL;DR: The experimental results confirm the feasibility of using the derived learning algorithm based on the generalised Hamiltonian–Real calculus to train the quaternion neural network and the availability of such a network for a control systems application.
References
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Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
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The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
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Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Statistical learning theory
TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.