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Neural Networks and Analog Computation: Beyond the Turing Limit

The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer;

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Unconventional Computation and Natural Computation

computations beyond the Turing model and philosophical aspects of computing.;

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Machines, Computations, and Universality

reviewed and selected from 23 submissions. MCU explores computation in the setting of various discrete models (Turing machines, register machines;

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Advances in Neural Networks - ISNN 2016

; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural;

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Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas;

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Unconventional Computation and Natural Computation

is concerned with various proposals for computation that go beyond the Turing model, human designed computation inspired by nature, and with the;

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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 and Evolutionary Computation in Remote Sensing

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Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;

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Mathematical Perspectives on Neural Networks

computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time;

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Mathematical Perspectives on Neural Networks

computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time;

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Nature-Inspired Computation

Nature inspired computation is an old idea, first proposed in the early fifties by Alan Turing, one of the founders of computer science;

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Analog VLSI Circuits for the Perception of Visual Motion

. This book explores the theory, design and implementation of analog VLSI circuits, inspired by visual motion processing in biological neural;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations;

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Neural Network Methods in Natural Language Processing

computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary;

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Neural Network Methods in Natural Language Processing

computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary;

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Advances in Neural Networks - ISNN 2018

This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus;

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Sensory Neural Networks

book also uses nonlinear mathematical techniques to analyze temporal and spatial behavior of models presented within the text. Sensory Neural;

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Revival: Sensory Neural Networks (1991)

book also uses nonlinear mathematical techniques to analyze temporal and spatial behavior of models presented within the text. Sensory Neural;

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Circuit Complexity and Neural Networks

amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how;

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New Computational Paradigms

computation and physical s- tems (e. g. , quantum computation, neural nets, molecular computation) but also higher mathematical models of computation;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series

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 and Machine Learning - ICANN 2019: Workshop and Special Sessions

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 and Machine Learning - ICANN 2019: Deep Learning

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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