AN INTRODUCTION TO NEURAL NETWORKS

By:

Anderson, James A

Contributor(s):

James A ANDERSON

Material type: Text

TextPublication details: PHI Pub. 2009 New DelhiDescription: 650pISBN:

9788120313514

Subject(s):

Properties of Single Neurons , Synaptic Integration and Neuron Models

DDC classification:

006.32 AND-I

Online resources:

Click here to access online

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Item type	Current library	Collection	Call number	URL	Status	Barcode
Reference Book	Amity Central Library ASET CSE	Reference	006.32 AND-I (Browse shelf(Opens below))	Link to resource	Not For Loan	12372
Books	Amity Central Library ASET CSE	Text Book	006.32 AND-I (Browse shelf(Opens below))	Link to resource	Available	12373
Books	Amity Central Library ASET CSE	Text Book	006.32 AND-I (Browse shelf(Opens below))	Link to resource	Available	12374
Books	Amity Central Library ASET CSE	Text Book	006.32 AND-I (Browse shelf(Opens below))	Link to resource	Available	12375
Books	Amity Central Library ASET CSE	Text Book	006.32 AND-I (Browse shelf(Opens below))	Link to resource	Available	12376

Introduction. Acknowledgments. Properties of Single Neurons. Synaptic Integration and Neuron Models. Essential Vector Operations. Lateral Inhibition and Sensory Processing. Simple Matrix Operations. The Linear Associator: Background and Foundations. The Linear Associator: Simulations. Early Network Models: The Perceptron. Gradient Descent Algorithms. Representation of Information. Applications of Simple Associators: Concepts Formation and Object Motion. Energy and Neural Networks: Hopfield Networks and Boltzmann Machines. Nearest Neighbor Models. Adaptive maps. The BSB Model: A Simple Nonlinear Autoassociative Neural Network. Associative Computation. Teaching Arithmetic to a Neural Network

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