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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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architecture of an artificial neural network. The various types of artificial neural networks based on their architecture are also discussed. The book;
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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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course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers;
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-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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to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk;
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of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;
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This book presents a broad overview on the current various design modules and applications of artificial neural systems. Artificial neural;
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of artificial neural networks in food engineering are presented, particularly focusing on control, monitoring and modelling of industrial food processes;
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This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;
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deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature;
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in the data set. In this work, the focus is on the mathematics of multicollinearity -- what it is, what it does to the model, how it can be;
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primary focus is on the auto contractive map, an unsupervised artificial neural network employing a fixed point method versus traditional energy;
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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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This book describes new theories and applications of artificial neural networks, with a special focus on answering questions;
Vergelijkbare producten zoals Advances in Neural Computation, Machine Learning, and Cognitive Research IV
This book presents and discusses research in the field of computer science, with a particular focus on network systems and quantum;
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machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;
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machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic;
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, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.;
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, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.;
Vergelijkbare producten zoals Artificial Neural Network Applications in Business and Engineering
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions;
Vergelijkbare producten zoals Advances in Neural Computation, Machine Learning, and Cognitive Research III
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions;
Vergelijkbare producten zoals Advances in Neural Computation, Machine Learning, and Cognitive Research III
comprehensive investigation of artificial neural networks. Next, the authors focus on studies carried out with the artificial neural network approach on;
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are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also;
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Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;
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An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features;
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general principles of the nervous systems, and test potential generalizations among species. The authors focus on simple neural networks to show;
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