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Machine Learning for Adaptive Many-Core Machines - a Practical Approach
Machine Learning for Adaptive Many-Core Machines - a Practical Approach
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Machine Learning for Adaptive Many-Core Machines - a Practical Approach

Lopes, Noel ; Ribeiro, Bernardete

Cham: Springer International Publishing AG 2014

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Memristor Networks
Memristor Networks
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Memristor Networks

Adamatzky, Andrew ; Chua, Leon Chua, Leon O ; Adamatzky, Andrew

Cham: Springer International Publishing AG 2014

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3
Sensitivity Analysis for Neural Networks
Sensitivity Analysis for Neural Networks
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Sensitivity Analysis for Neural Networks

Yeung, Daniel S Shi, Daming ; Ng, Wing W. Y ; Cloete, Ian

Berlin, Heidelberg: Springer Nature 2009

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Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
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Computational Intelligence: An Introduction

Engelbrecht, Andries P

Newark: Wiley 2007

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5
Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology
Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology
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Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology

Lee, Raymond S.T

Netherlands: Springer Nature 2006

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6
Kalman filtering and neural networks
Kalman filtering and neural networks
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Kalman filtering and neural networks

Haykin, Simon

Newark: WILEY 2004

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7
Artificial Neural Networks -- ICANN 2002: International Conference, Madrid, Spain, August 28-30, 2002. Proceedings
Artificial Neural Networks -- ICANN 2002: International Conference, Madrid, Spain, August 28-30, 2002. Proceedings
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Artificial Neural Networks -- ICANN 2002: International Conference, Madrid, Spain, August 28-30, 2002. Proceedings

Dorronsoro, Jose R Dorronsoro, José R.

Berlin, Heidelberg: Springer Berlin / Heidelberg 2002

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8
From Computer to Brain: Foundations of Computational Neuroscience
From Computer to Brain: Foundations of Computational Neuroscience
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From Computer to Brain: Foundations of Computational Neuroscience

Lytton, William W

New York, NY: Springer Nature 2002

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9
Statistical Mechanics of Learning
Statistical Mechanics of Learning
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Statistical Mechanics of Learning

Engel, A. ; Van den Broeck, C.

Cambridge: Cambridge University Press 2001

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10
Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability
Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability
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Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability

Mandic, Danilo P ; Chambers, Jonathon A

Newark: John Wiley & Sons, Incorporated 2001

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