Soft Computing - PowerPoint PPT Presentation

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Soft Computing

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NN is learning by pilot (storing associations between situation and action of ... Software Falcon based on NN. This company controls more then 220 million accounts ... – PowerPoint PPT presentation

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Title: Soft Computing


1
Soft Computing
  • Lecture 21
  • Review of using of NN for solving of real tasks

2
Autopilot airplane
  • LoFLYTE (Low-Observable Flight Test Experiment)
    is developed for NASA and USA Air Force by
    Accurate Automation Corp., Chattanooga, TN.
  • Speed is 4-5 M
  • NN is learning by pilot (storing associations
    between situation and action of pilot) and after
    that may control without pilot

3
Project TNA
  • System for searching of plastic explosive in
    baggage in airports is developed by SAIC (Science
    Application International Corporation)
  • NN analyzes of spectrum of baggage after
    irradiation of it by slow neutrons
  • Recognition of explosive with probability 97,
    speed is 10 units per minute

4
Using of NN on financial markets
  • Citibank uses NN from 1990. In 1992 yield was 25
    which is large more then most of brokers
  • Chemical Bank uses NN (from company Neural Data)
    for previous processing of transactions in
    currency exchanges in 23 countries for detection
    of shady bargains
  • Fidelity of Boston uses NN for control of
    portfolio with volume 3 billion USA, Deere Co
    100 million USA, LBS Capital 400 million USA
  • Proceedings of one seminar AI in Wall Street
    includes 6 large volumes.

5
Recognition of stolen credit cards
  • Developer is HNC Software Corp., now Fair Isaac
    Corporation http//www.fairisaac.com
  • Software Falcon based on NN
  • This company controls more then 220 million
    accounts
  • NN is learning to recognize unusual behavior of
    clients with credit card

6
Active reclaim in Internet
  • Developer is Aptex Software Inc.
  • Software SelectCast based on NN
  • NN is learning by interesting of users and offers
    to client such reclaim which may be interesting
    for him

7
Control of mobile robots
  • LSTM for robots
  • Planning of path and navigation
  • Recognition of objects

8
Camera-robot coordination is function
approximation
  • The system we focus on in this section is a work
    floor observed by a fixed cameras and a robot
    arm. The visual system must identify the target
    as well as determine the visual position of the
    end-effector.

9
Camera-robot coordination is function
approximation (2)
10
Camera-robot coordination is function
approximation (3).Two approach to use neural
networks
  • Usage of feed-forward networks
  • Indirect learning
  • General learning
  • Specialized learning
  • Usage of topology conserving maps

11
Camera-robot coordination is function
approximation (4). feed-forward networks
Indirect learning system for robotics. In each
cycle the network is used in two different
places first in the forward step then for
feeding back the error
12
Camera-robot coordination is function
approximation (5). feed-forward networks (2)
13
Sensor based control
14
The structure of the network for the autonomous
land vehicle
15
Drama
16
Diagnosis of cancer
  • Yulei Jiang, assistant professor of radiology at
    the University of Chicago
  • System that uses a perceptron neural network to
    analyze eight input nodes, converting the output
    node into a robability measure, which Jiang calls
    likelihood of malignancy.
  • The system is trained on a set of cases, using
    the leave-one-out method, which is a
    cross-validation technique for estimating
    generalization error based on resampling. A net
    is trained a number of times, each time leaving
    out one of the subsets. The omitted subset
    computes whatever error criterion is of interest.
    The system initially learns from digitized screen
    mammograms.
  • The eight input nodes represent features of
    calcifications, areas in breast tissue where tiny
    calcium deposits build up and might indicate the
    presence of cancer.

17
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18
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