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This book is the fourth in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics (MIND), an;
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underlying neural functions and the neural dynamics in sensory, motor, and cognitive systems. Other important neuroscience fields covered in the;
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oscillators. Examples of such systems range from mechanical clocks to population dynamics, from the human heart to neural networks. The main purpose;
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Deepen Your Students' Understanding of Oscillations through Interactive Experiments Simulations o;...
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Deepen Your Students' Understanding of Oscillations through Interactive Experiments Simulatio;...
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Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development;
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language Explains the effects of hearing loss on neural network change in the auditory and non-auditory networks such as the default mode;
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SMALL SIGNAL ANALYSIS OF INTEGRATED POWER SYSTEMS is an essential tool to discover possible low freq;...
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Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;
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Bridging lower-division physics survey courses with upper-division physics courses, Oscillations and;...
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Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by;
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This book covers the hot topics and applications surrounding complex-valued neural networks. It demonstrates advanced theories with a wide;
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Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a;
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In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum;
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;
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neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control;
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Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;
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Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence;
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The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural;
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new entry in this arena - neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It;
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This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;
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This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;
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The phenomena of oscillations, travelling waves, and chaos in reacting chemical systems began as cur;...
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Hopf bifurcation of nonlinear dynamic systems. It will include the examples of the Hopf bifurcation as applied to neural networks and;
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Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media;
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The book collects the most relevant results from the INdAM Workshop Shocks, Singularities and Oscill;...
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