Pre-Owned The Springer International Engineering and Computer Science: Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Analog Implementation Hardcover from other stores
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Pre-Owned The Springer Interna...
Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Anal...
Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses...
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The Springer International Eng...
Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Anal...
Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses...
more
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The Springer International Eng...
Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Anal...
Feed-Forward Neural Networks: Vector Decomposition Analysis Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses...
more
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Pre-Owned The Springer Interna...
Lifelong learning addresses situations in which a learner faces a series of di...
Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers...
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Pre-Owned The Springer Interna...
Dean Pomerleau s trainable road tracker ALVINN is arguably the world s most fa...
Dean Pomerleau s trainable road tracker ALVINN is arguably the world s most famous neural net application. It currently holds the world s record for distance traveled by an autonomous robot without interruption: 21.2 miles along a highway in traffic...
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Pre-Owned The Springer Interna...
Artificial neural networks have been recognized as a powerful tool to learn an...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net- works are inspired by the brain behavior and consist of one or several layers of neurons or computing...
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Pre-Owned The Springer Interna...
Human Face Recognition Using Third-Order Synthetic Neural Networks explores th...
Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks...
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Pre-Owned The Springer Interna...
The subject of this book is predictive modular neural networks and their ap- p...
The subject of this book is predictive modular neural networks and their ap- plication to time series problems: classification prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks...
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Pre-Owned The Springer Interna...
Performance Analysis of Telecommunications and Local Area Networks presents in...
Performance Analysis of Telecommunications and Local Area Networks presents information on teletraffic engineering with emphasis on modeling techniques queuing theory and performance analysis for the public-switched telephone network and computer...
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Pre-Owned International Intell...
Uncertainty has been of concern to engineers managers and . scientists for man...
Uncertainty has been of concern to engineers managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and...
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Pre-Owned The Springer Interna...
Computational Architectures Integrating Neural and Symbolic Processes: A Persp...
Computational Architectures Integrating Neural and Symbolic Processes: A Perspective on the State of the Art focuses on a currently emerging body of research. With the reemergence of neural networks in the 1980s with their emphasis on overcoming...
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Pre-Owned The Springer Interna...
Dynamic Neural Field Theory for Motion Perception provides a new theoretical f...
Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception. This framework uses dynamic neural fields as a key mathematical concept. The...
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Pre-Owned The Springer Interna...
Network Management in Wired and Wireless Networks addresses various open issue...
Network Management in Wired and Wireless Networks addresses various open issues related to performance monitoring performance management and performance control. It covers the performance management aspects of broadband wired and wireless cellular...
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Pre-Owned The Springer Interna...
Learning on Silicon combines models of adaptive information processing in the ...
Learning on Silicon combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. The premise is to construct integrated systems not only loaded with sufficient computational power...
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Pre-Owned Communications in Co...
This book constitutes the refereed proceedings of the 13th International Confe...
This book constitutes the refereed proceedings of the 13th International Conference on Engineering Applications of Neural Networks EANN 2012 held in London UK in September 2012. The 49 revised full papers presented were carefully reviewed and...
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