Neural Networks: A Comprehensive Foundation (2nd Edition)

Neural Networks: A Comprehensive Foundation (2nd Edition)

Simon Haykin
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Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples, computer-oriented experiments, end of chapter problems, and a bibliography. DLC: Neural networks (Computer science).
Kategori:
Computers - Computer Science
Tahun:
1998
Edisi:
2
Penerbit:
Prentice Hall
Bahasa:
english
Halaman:
842
ISBN 10:
0132733501
ISBN 13:
9780132733502
File:
DJVU, 10.57 MB
IPFS:
CID , CID Blake2b
english, 1998
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Istilah kunci

 
network
function
vector
input
neural
algorithm
networks
output
neuron
matrix
neurons
weight
synaptic
layer
error
defined
signal
probability
figure
multilayer
random
weights
parameter
linear
propagation
perceptron
recurrent
memory
nonlinear
shown
method
vectors
processing
systems
functions
analysis
feature
values
response
equation
classification
rate
approximation
consider
statistical
computation
adaptive
components
entropy
dimensional
denote
gradient
examples
decision
convergence
zero
noise
gaussian
presented
theorem