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Mentor Graphics
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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 consisting of multiple assemblies of basic processors interconnected in an intricate structure.
Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models.
preview:
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date: 3/1/1999
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Neural Networks and Artificial Intelligence for Biomedical Engineering
Theoretical and practical approaches to the development of neural networks are presented, followed by algorithmic development and application to specific problems.
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date: 11/1/1999
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Neural Networks in a Softcomputing Framework
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution.
Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques.
This concise but comprehensive textbook provides a powerful and universal...
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date: 5/1/2006
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Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
In Neuro-Fuzzy Pattern Recognition, leading neural network researchers present the state of the art of fuzzy logic and neural networks as they are applied to the task of pattern recognition.
preview:
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date: 9/10/1999
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On-Line Learning in Neural Networks
On-line learning is one of the most commonly used techniques for training neural networks, and has been used successfully in many real-world applications.
The aim of this book is to present a coherent picture of the state-of-the-art in on-line learning.
preview:
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date: 4/15/1999
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Synergetic Computers & Cognition
Of interest to graduate students, researchers, and teachers in the computer and cognitive sciences and in physics.
Presents a novel approach to the design and study of neural nets, with practical examples of its application.
Also includes a detailed model of the cognitive abilities of humans, and compares it with the performance of the synergetic computer described.
preview:
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date: 7/15/2002
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Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate.
This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.
preview:
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date: 12/1/2001
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