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Artificial Neural Networks [PDF]
, 2008 Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods.
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TYURINGMACHINE AND ARTIFICIAL NEURAL NETWORKS
Journal of Science and Innovative Development, 2023One of the main goals of artificial intelligence is to develop learning algorithms that can be implemented on computers using simulations of the human brain. In this paper, we review methods for solving Turing machine problems using experiment based artificial intelligence algorithms. The paper also presents critical concepts of the NTM method based on
S. B. Ergashev, R. M. Yusupov
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Fundamentals of Artificial Neural Networks
Proceedings of the IEEE, 1996M H Hassoun
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IEEE Circuits and Devices Magazine, 1988
Examines the following questions associated with artificial neural networks: why people are interested in artificial neural networks; what artificial neural networks are, from the point of view of electronic circuits, and how they work; how they can be programmed and made to solve particular problems; and whether interesting problems can actually be ...
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Examines the following questions associated with artificial neural networks: why people are interested in artificial neural networks; what artificial neural networks are, from the point of view of electronic circuits, and how they work; how they can be programmed and made to solve particular problems; and whether interesting problems can actually be ...
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Artificial neural networks in urolithiasis
Current Opinion in Urology, 2005The management of urolithiasis is a clinical challenge worldwide which may result in difficulty in diagnosis, treatment and prevention of recurrence. Artificial neural networks (ANNs) are well described adjuncts to many aspects of clinical urological practice. We review literature published in on-line Medline-citable English language journals to assess
Prabhakar, Rajan, David A, Tolley
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Introduction to artificial neural networks
European Journal of Gastroenterology & Hepatology, 2007The coupling of computer science and theoretical bases such as nonlinear dynamics and chaos theory allows the creation of 'intelligent' agents, such as artificial neural networks (ANNs), able to adapt themselves dynamically to problems of high complexity.
Enzo, Grossi, Massimo, Buscema
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EVOLUTIONARY ARTIFICIAL NEURAL NETWORKS
International Journal of Neural Systems, 1993Evolutionary artificial neural networks (EANNs) can be considered as a combination of artificial neural networks (ANNs) and evolutionary search procedures such as genetic algorithms (GAs). This paper distinguishes among three levels of evolution in EANNs, i.e. the evolution of connection weights, architectures and learning rules. It first reviews each
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Neural networks and artificial intelligence
Information Sciences, 1993L'article presente les sept papiers de ce numero. Il met, en particulier, l'emphase sur l'avance considerable du connexionnisme et des reseaux neuronaux. Il montre comment la methode connexionniste de resolution de probleme de diagnostic peut etre mieux appropriee que les methodes de recherche sequentielle.
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Overview of Artificial Neural Networks
2008The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to uncover the hidden causal relationships between single or multiple responses and a large set of properties.
Jinming, Zou, Yi, Han, Sung-Sau, So
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Artificial neural networks in neurosurgery
Journal of Neurology, Neurosurgery & Psychiatry, 2014Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review of the relevant published articles that focused on the application of ANNs as a tool for assisting clinical decision-making in neurosurgery. A literature review of all full publications in English biomedical journals (1993-2013) was undertaken.
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