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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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Complex-valued Neural Networks

In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum;

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Complex-Valued Neural Networks

This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;

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Supervised Learning with Complex-valued Neural Networks

neural networks. Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to develop;

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Complex-Valued Neural Networks with Multi-Valued Neurons

Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book;

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Complex-Valued Neural Networks

This book is the second enlarged and revised edition of the first successful monograph on complex-valued neural networks (CVNNs) published;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Neural Networks and Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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Neural Networks And Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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Neural Networks with R

with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial;

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Spatially Explicit Hyperparameter Optimization for Neural Networks

Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural;

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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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Neural Networks for Applied Sciences and Engineering

: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks;

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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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Information-Theoretic Aspects of Neural Networks

explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.;

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Exploring Neural Networks with C#

Networks with C# presents the important properties of neural networks-while keeping the complex mathematics to a minimum. Explaining how to build;

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Exploring Neural Networks with C#

Networks with C# presents the important properties of neural networks while keeping the complex mathematics to a minimum. Explaining how to build;

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Fundamentals Of Deep Learning

network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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Artificial Neural Networks in Biological and Environmental Analysis

, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and;

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Fundamentals of Complex Networks

Complex networks such as the Internet, WWW, transportation networks, power grids, biological neural networks, and scientific cooperation;

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Credit Rating Modelling by Neural Networks

This book presents the modelling possibilities of neural networks on a complex real-world problem, i.e. credit rating process modelling;

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Deep Learning and Practice with MindSpore

AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks;

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Deep Learning and Practice with MindSpore

AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks;

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MATLAB Deep Learning

, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB;

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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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