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Clustering and Neural Network Approaches for General NN-Simulator - Chandan Srivastava
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2011, ISBN: 9783845409429

ID: 680886726

This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean statistical clustering algorithms, are able to preclassified data into significant groups. We assume that both methods are better predicted on different example in real analysis. The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the best optimal result. Since we have input unit, output unit, and eventually hidden unit; we could say that this is supervised optimization learning process. The optimization process to minimizing the error and get the activated network till that all weight of the network are going to reach equilibrium state). This process usually take more time because every output of network add-up with input again and train network (weight) to reach the equilibrium state (optimal solution).Reported results and graphical user interface (GUI) snapshot, showing algorithms are integrated well in software package (simulator). K-means, K-mediods, Recurrent Backpropagation,and Artificial Neural Network Simulator Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 07.07.2011 Buch (fremdspr.), LAP Lambert Academic Publishing, .201

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Clustering and Neural Network Approaches for General NN-Simulator - Chandan Srivastava
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Chandan Srivastava:
Clustering and Neural Network Approaches for General NN-Simulator - neues Buch

ISBN: 9783845409429

ID: c1a9cb6ba0f84cea3c3a93745e06ea6c

K-means, K-mediods, Recurrent Backpropagation,and Artificial Neural Network Simulator This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean statistical clustering algorithms, are able to preclassified data into significant groups. We assume that both methods are better predicted on different example in real analysis. The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the best optimal result. Since we have input unit, output unit, and eventually hidden unit; we could say that this is supervised optimization learning process. The optimization process to minimizing the error and get the activated network till that all weight of the network are going to reach equilibrium state). This process usually take more time because every output of network add-up with input again and train network (weight) to reach the equilibrium state (optimal solution).Reported results and graphical user interface (GUI) snapshot, showing algorithms are integrated well in software package (simulator). Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8454-0942-9, LAP Lambert Academic Publishing

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Clustering and Neural Network Approaches for General NN-Simulator - Chandan Srivastava
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Chandan Srivastava:
Clustering and Neural Network Approaches for General NN-Simulator - neues Buch

ISBN: 9783845409429

ID: b28504d08c819d307a53e07842ad617e

K-means, K-mediods, Recurrent Backpropagation,and Artificial Neural Network Simulator This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean statistical clustering algorithms, are able to preclassified data into significant groups. We assume that both methods are better predicted on different example in real analysis.The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the best optimal result. Since we have input unit, output unit, and eventually hidden unit; we could say that this is supervised optimization learning process. The optimization process to minimizing the error and get the activated network till that all weight of the network are going to reach equilibrium state). This process usually take more time because every output of network add-up with input again and train network (weight) to reach the equilibrium state (optimal solution).Reported results and graphical user interface (GUI) snapshot, showing algorithms are integrated well in software package (simulator). Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8454-0942-9, LAP Lambert Academic Publishing

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Clustering and Neural Network Approaches for General NN-Simulator - Chandan Srivastava
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Chandan Srivastava:
Clustering and Neural Network Approaches for General NN-Simulator - neues Buch

ISBN: 9783845409429

ID: 210046376

This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean statistical clustering algorithms, are able to preclassified data into significant groups. We assume that both methods are better predicted on different example in real analysis. The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the best optimal result. Since we have input unit, output unit, and eventually hidden unit; we could say that this is supervised optimization learning process. The optimization process to minimizing the error and get the activated network till that all weight of the network are going to reach equilibrium state). This process usually take more time because every output of network add-up with input again and train network (weight) to reach the equilibrium state (optimal solution).Reported results and graphical user interface (GUI) snapshot, showing algorithms are integrated well in software package (simulator). K-means, K-mediods, Recurrent Backpropagation,and Artificial Neural Network Simulator Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Clustering and Neural Network Approaches for General NN-Simulator als Buch von Chandan Srivastava - Chandan Srivastava
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Clustering and Neural Network Approaches for General NN-Simulator als Buch von Chandan Srivastava - gebunden oder broschiert

ISBN: 9783845409429

ID: 237862647

Clustering and Neural Network Approaches for General NN-Simulator:K-means, K-mediods, Recurrent Backpropagation, and Artificial Neural Network Simulator Chandan Srivastava Clustering and Neural Network Approaches for General NN-Simulator:K-means, K-mediods, Recurrent Backpropagation, and Artificial Neural Network Simulator Chandan Srivastava Bücher > English, International > Gebundene Ausgaben, LAP Lambert Acad. Publ.

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