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Semi-empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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Advances in Neural Network Research and Applications

neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all;

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Computational Neurogenetic Modeling

interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge;

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From Digital Twins to Digital Selves and Beyond

and trans-human development objects. Following the conceptual understanding of digital twins and how they could be engineered according to;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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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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Cognitive Modeling

of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific;

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Digital Twin Development and Deployment on the Cloud

Digital Twin Development and Deployment in the Cloud: Developing Cloud-Friendly Dynamic Models Using Simulink/SimscapeTM and Amazon AWS;

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Modeling Neural Development

. Chapters 1 and 2 study the very early development of the nervous system, discussing gene networks, cell differentiation, and neural tube;

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Artificial Neural Networks with Java

used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic;

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Artificial Neural Networks with Java

used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic;

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Semi Autonomous Networks

This thesis analyzes and explores the design of controlled networked dynamic systems - dubbed semi-autonomous networks. The work approaches;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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The Neural Simulation Language

presents an overview of neural network and schema modeling, a brief history of NSL, and a detailed discussion of the new version, NSL 3.0. It;

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Corticonics

properties of single neurons to neural network models and synfire chains. The most modern trends in neural network modeling are explored.;

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Neural Information Processing

submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing;

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Digital Twins

bioprocesses, and to efficiently monitor them. This book explains the mathematical structure of digital twins, their development and the;

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Industrial Methanol Reactor Dynamic Modeling and Optimization

converging natural gas to methanol in industrial scale reactor. The research focuses on mechanistic and grey box ( hybrid neural network model;

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Artificial Neural Network Applications in Business and Engineering

intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;

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Artificial Neural Network Applications in Business and Engineering

intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications;

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Artificial Neural Networks with Java

edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps;

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