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Title: Intelligent system for automatic feature detection and selection or identification

Patent ·
OSTI ID:871136
 [1];  [2];  [3]
  1. Pao-Shan Shiang, TW
  2. Framingham, MA
  3. San Francisco, CA
+ Show Author Affiliations

A neural network uses a fuzzy membership function, the parameters of which are adaptive during the training process, to parameterize the interconnection weights between an (n-1)'th layer and an n'th layer of the network. Each j'th node in each k'th layer of the network except the input layer produces its output value y.sub.k,j according to the function ##EQU1## where N.sub.k-1 is the number of nodes in layer k-1, i indexes the nodes of layer k-1 and all the w.sub.k,i,j are interconnection weights. The interconnection weights to all nodes j in the n'th layer are given by w.sub.n,i,j =w.sub.n,j (i, p.sub.n,j,1, . . . , p.sub.n,j,p.sbsb.n). The apparatus is trained by setting values for at least one of the parameters p.sub.n,j,1, . . . , p.sub.n,j,Pn. Preferably the number of parameters P.sub.n is less than the number of nodes N.sub.n-1 in layer n-1. w.sub.n,j (i,p.sub.n,j,1, . . . , p.sub.n,j,Pn) can be convex in i, and it can be bell-shaped. Sample functions for w.sub.n,j (i, p.sub.n,j,1, . . . , p.sub.n,j,Pn) include ##EQU2##

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
DOE Contract Number:
W-7405-ENG-48
Assignee:
United States of America as represented by United States (Washington, DC)
Patent Number(s):
US 5664066
OSTI ID:
871136
Country of Publication:
United States
Language:
English

References (11)

A method for self-determination of adaptive learning rates in back propagation journal January 1991
Neural-network-based fuzzy logic control and decision system journal January 1991
Initializing multilayer neural networks with fuzzy logic
  • Okada, H.; Watanabe, N.; Kawamura, A.
  • [1992] IJCNN International Joint Conference on Neural Networks, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks https://doi.org/10.1109/IJCNN.1992.287129
conference January 1992
An introduction to computing with neural nets journal January 1987
Rescaling of variables in back propagation learning journal January 1991
ANFIS: adaptive-network-based fuzzy inference system journal January 1993
Fuzzy sets journal June 1965
Back-propagation algorithm which varies the number of hidden units journal January 1991
A prototype of neuro-fuzzy cooperation system conference January 1992
Fuzzy logic in control systems: fuzzy logic controller. II journal January 1990
Fuzzy logic journal April 1988

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intelligent
automatic
feature
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neural
network
fuzzy
membership
function
parameters
adaptive
training
process
parameterize
interconnection
weights
n-1
layer
node
input
produces
output
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according
equ1
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sbsb
apparatus
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setting
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pn
preferably
convex
bell-shaped
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equ2
neural network
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