An introduction to neural networks / James A. Anderson.
Publisher: Cambridge, Mass. : MIT Press, c1995Description: xi, 650 p. : ill. ; 27 cmISBN: 8120313518Subject(s): Neural networks (Neurobiology)DDC classification: 006.3,AND| Item type | Current location | Home library | Shelving location | Call number | URL | Status | Notes | Date due | Barcode | Item holds |
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Book Bank
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Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 006.3,AND (Browse shelf) | Link to resource | Available | Almirah No.109, Shelf No.3 | MCS30360 |
Properties of Single Neurons (Page-1), Synaptic Integration and Neuron Models (Page-37), Essential Vector Operations (Page-63), Lateral Inhibition and Sensory Processing (Page-85), Simple Matrix Operations (Page-129), The Linear Associator Background and Foundations (Page-143), The Linear Associator Simulations (Page-175), Early Networks Models (Page-209), Gradient Descent Algorithms (Page-239), Representation of Information (Page-281), Applications of Simple Associators Concepts Formation and Object Motion (Page-351), Energy and Neural Networks Hopfield Networks and Boltzmann Machines (Page-401), Nearest Neighbor Models (Page-433), The BSB Model a Simple Nonlinear Autoassociative Neural Network (Page-493), Associative Computation (Page-545), Teaching Arithmetic to a Neural Network (Page-585).
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