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Artificial network

Burns, R.S. (1995) The Use of Artificial Networks for the Intelligent Optimal Control of Surface Ships, IEEE Journal of Oceanic Engineering, 20(1) Special Issue Advanced Control Signal Processing for Oceanic Applications, 20(1), pp. 66-72. [Pg.428]

Peh KK, Lim CP, Qwek SS, Khoti KH. Use of artificial networks to predict drug dissolution profiles and evaluation of network performance using similarity profile. Pharm Res 2000 17 1386-98. [Pg.701]

E.P.P. A. Derks, Aspects of Artificial networks and experimental noise. PhD thesis. University of Nijmegen, the Netherlands, Chapter 2, 1997. [Pg.696]

Marini, F. (2009). Artificial networks in foodstuff analyses Trends and perspectives. A review. Anal. Chim. Acta 635, 121-131. [Pg.162]

The theoretical framework of this model is compatible with physiological delays and able to generate synchronization. Furthermore, this model is easy to manipulate. A preliminary validation of this model is presented with an artificial network inspired from biology. A long term goal is to use this model to propose a unified and coherent explanation of the local and more distant spectacular effects of DBS on motor signs. [Pg.352]

The importance for biomacromolecules of the extended H-bond network provided by liquid water clearly appears when modifications of this network are applied. Suppressing it by drying, or rigidifying it by freezing are lethal actions. The role of protectors such as trehalose is to partly avoid its collapse, by replacing it with another artificial network that maintains a minimum of its essential stractural features during a sufficient time to wait for... [Pg.265]

P.C. Benardos, and C.C. Vosniakos, Optimizing feedforward artificial network architecture, Eng. Appl. Artif. Intell, 20,365-382,2007. [Pg.361]

Recognition of Jet Fuel Chromatographic Data by Artificial Networks with Back-Propagation of Error. [Pg.330]

Table 1 lists the results obtained by assessing the accuracy of the mapping model in an artificial network of the actual speed during the landing phase of flight of the EMB 170 aircraft. [Pg.2032]

We have illustrated that that the surface area of a species is a fundamental property as it quantitatively determines the interactive boundary with the environment. It is typically a heat exchange (lost), which would be a limiting factor even for any artificial network system, such an integrated circuit, which integration size will be determined by its large enough surface yet capable to keep the unit at the working (within limits - not overheated) temperature. [Pg.248]

The theory and shape of artificial network neuronals is inspired by the structure and functioning of the nervous systems, where the neuron is the fundamental element. There exist neurons of varied forms, sizes, and lengths, which characteristics are important to determine the function and usefulness of the neuron. In Figure 4, we observe a model of it. [Pg.96]


See other pages where Artificial network is mentioned: [Pg.649]    [Pg.387]    [Pg.247]    [Pg.729]    [Pg.349]    [Pg.160]    [Pg.230]    [Pg.137]    [Pg.1433]    [Pg.216]    [Pg.75]    [Pg.259]    [Pg.351]    [Pg.123]    [Pg.140]   
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Artificial Intelligence and Neural Networks

Artificial Mains Network

Artificial Neural Network

Artificial Neural Network (ANN) Models

Artificial Neural Networks and Their Use in Chemistry

Artificial Neural Networks in a Nutshell

Artificial neural network cases

Artificial neural network classification methods

Artificial neural network design

Artificial neural network investigation

Artificial neural network model

Artificial neural network pattern recognition technique

Artificial neural network supervised classification

Artificial neural network theory

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Artificial neural networking

Artificial neural networks (ANN)

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Artificial neural networks based models

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Artificial neuron networks

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Chemometrics artificial neural networks

Computational artificial neural networks

Electronic tongues artificial neural networks

Empirical models artificial neural networks

Error back-propagation artificial neural networks

Fault diagnosis artificial neural networks

Feed-forward network, artificial neural

Feedforward artificial neural network

Genetic algorithms artificial neural networks, machine

Learning from Nature — Artificial Neural Networks

Linear networks, artificial neural

Linear networks, artificial neural network construction

Machine-learning methods artificial neural network

Modeling with artificial neural networks

Multilayer perceptron artificial neural networks

Multivariate analysis artificial neural network

Natural computation artificial neural networks

Neural networks Artificial intelligence

Optimal artificial neural network

Potential Applications of Artificial Neural Networks to Thermodynamics

Quantitative structure-activity artificial neural network

Search with artificial neural networks

Short Review of Artificial Neural Networks

Statistical models artificial neural network

Supervised learning artificial neural networks

Tablet formulation artificial neural networks

The Structure of an Artificial Neural Network

The Training of Artificial Neural Networks

Three-layer artificial neural network

Training an Artificial Neural Network

Types of Artificial Neural Network

What Are Artificial Neural Networks

Yushu, China earthquake struck area using artificial neural network model

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