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On Multicollinearity and Artificial Neural Networks

detected and combated. Aside from the classical methods, artificial neural networks were also employed to combat multicollinearity. Softwares such;

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Focus on Artificial Neural Networks

artificial neural networks in environmental sciences and chemical engineering; application of artificial neural networks in the development;

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Neural Networks for Complete Beginners

learn the relationship between the neurons which make up the human brain and the artificial neurons. Artificial neural networks embrace the;

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New Developments In Artificial Neural Networks Research

in chromatography and spectroscopy; heterogeneous neural networks and tuning differential evolution for artificial neural networks.;

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Principles Of Artificial Neural Networks

course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers;

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Deep Neural Networks and Applications

to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk;

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Artificial Neural Networks

-layered learning network based on simple math rules. The structure of an artificial neural network consists of an input layer, an output layer and;

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Designs and Applied Principles of Artificial Neural Networks

This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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Evolutionary Algorithms and Neural Networks

. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the;

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Applications of Artificial Neural Networks for Nonlinear Data

, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric;

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A Comprehensive Guide to Neural Network Modeling

of artificial neural networks in food engineering are presented, particularly focusing on control, monitoring and modelling of industrial food processes;

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Artificial Neural Networks - ICANN 2009

This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which;

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Evolutionary Machine Learning Techniques

. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression;

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Evolutionary Machine Learning Techniques

machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;

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Artificial Neural Network Applications in Business and Engineering

, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.;

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Artificial Neural Network Applications in Business and Engineering

, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.;

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Principles Of Artificial Neural Networks (3rd Edition)

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different;

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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

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

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Neural Networks And Artificial Intelligence For Biomedical Engineering

biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision;

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Artificial Neural Networks and Machine Learning - ICANN 2017

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks;

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Artificial Neural Networks and Machine Learning - ICANN 2017

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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Artificial Neural Networks

applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are;

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Artificial Neural Networks in Biological and Environmental Analysis

environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the;

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Artificial Neural Networks in Biological and Environmental Analysis

environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the;

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