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Artificial Neural Networks in Food Processing

Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a;

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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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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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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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Network Models for Control and Processing

of biological experimentation, and representation of artificial neural networks (ANNs) Within the fields mentioned, the topics discussed include;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing

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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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for;

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New Developments In Artificial Neural Networks Research

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;

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Neural Information Processing

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information;

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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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Neurocomputing Research Developments

artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory; hardware and so on;

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Neural Information Processing

Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent;

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Neural Information Processing

Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent;

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Neural Information Processing

Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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Progress in Neurocomputing Research

artificial neural networks. Topics include vision, signal and pattern processing, learning, neurodynamics, associative memory, hardware and so on;

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Complex-valued Neural Networks

neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first;

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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 Network Applications in Business and Engineering

processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;

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Artificial Neural Network Applications in Business and Engineering

processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy;

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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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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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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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Mathematical Modeling of Food Processing

the use of artificial neural networks, exergy analysis, process control, and cleaning-in-place (CIP) systems in industry. With the;

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Mathematical Modeling of Food Processing

the use of artificial neural networks, exergy analysis, process control, and cleaning-in-place (CIP) systems in industry. With the;

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Information-Theoretic Aspects of Neural Networks

Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as;

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