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Travel Mode Choice Modeling Using Artificial Neural Networks (ANN)

Mode choice modeling is the most important element of transportation planning as it affects the general efficiency of travel and the;

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New Developments In Artificial Neural Networks Research

in drilling GFRE using artificial neural networks; ANN-based approaches to study the nanoscale CMOS devices; artificial neural networks;

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Gas Turbines Modeling, Simulation, and Control

modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT;

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Gas Turbines Modeling, Simulation, and Control

modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT;

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Recent Progress in Artificial Neural Networks

Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;

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Artificial Neural Networks for Renewable Energy Systems and Real-World Applications

Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for the solution of complex;

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Artificial Neural Networks for Engineers and Scientists

been developed to handle them. Machine intelligence methods, such as Artificial Neural Networks (ANN), are being used to solve differential;

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Deep Neural Networks and Applications

Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related;

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Artificial Neural Network inversion in Geoelectrics

Modern data processing techniques based on the concepts of Artificial Neural Networks (ANN), which works on the analogy of human brain, has;

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Artificial Neural Networks

Artificial neural networks are graphical structures whose initial purpose was to emulate the human brain. They were introduced in 1943 by;

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Knowledge-Based Neurocomputing

of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence;

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Artificial Neural Network Training & Software Implementation Techniques

Artificial neural networks (ANN) are widely used in diverse fields of science and industry. Though there have been numerous techniques used;

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Artificial Neural Networks

An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features;

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Artificial Neural Network Applications for Software Reliability Prediction

without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has;

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Modeling of Thermodynamic Properties of Refrigerants Using Artifical Neural Networks & Genetic Algorithm

, involving the solution of complex differential equations. This book provides an alternative simple approach based on artificial neural networks;

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Neural Networks

With respect to the ever-increasing developments in artificial intelligence and artificial neural network applications in different scopes;

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Neural Networks Modeling and Control

control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order;

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Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management

The potential value of artificial neural networks (ANN) as a predictor of malignancy has begun to receive increased recognition. Research;

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Wavelet Neural Networks

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications;

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A Comprehensive Guide to Neural Network Modeling

As artificial neural networks have been gaining importance in the field of engineering, this compilation aims to review the scientific;

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Flood Forecasting Using Artificial Neural Networks

, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall;

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Advanced Methods of Solid Oxide Fuel Cell Modeling

of Solid Oxide Fuel Cell Modeling proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC;

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Advanced Methods of Solid Oxide Fuel Cell Modeling

of Solid Oxide Fuel Cell Modeling proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC;

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Artificial Neural Network Modeling of Water & Wastewater Treatments Processes

Artificial neural networks (ANNs) are computer based systems that are designed to simulate the learning process of neurons in the human;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Artificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;

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Applications of Artificial Neural Networks for Nonlinear Data

that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing;

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