GB2283605A - Dynamic neural networks - Google Patents

Dynamic neural networks

Info

Publication number
GB2283605A
GB2283605A GB9500605A GB9500605A GB2283605A GB 2283605 A GB2283605 A GB 2283605A GB 9500605 A GB9500605 A GB 9500605A GB 9500605 A GB9500605 A GB 9500605A GB 2283605 A GB2283605 A GB 2283605A
Authority
GB
United Kingdom
Prior art keywords
input
layer
sequence
activation
output layer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
GB9500605A
Other versions
GB9500605D0 (en
GB2283605B (en
Inventor
Leslie Samuel Smith
Kevin Michael Swingler
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
British Telecommunications PLC
Original Assignee
British Telecommunications PLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by British Telecommunications PLC filed Critical British Telecommunications PLC
Publication of GB9500605D0 publication Critical patent/GB9500605D0/en
Publication of GB2283605A publication Critical patent/GB2283605A/en
Application granted granted Critical
Publication of GB2283605B publication Critical patent/GB2283605B/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/049Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A neural network, specifically for analyzing time-dependent sequences such as spoken utterances, comprises an input layer (I) and an output layer (H). On each of the connections between the input and output layer there is a filter (P). As the sequence to be analyzed is received by the input layer, activation signals are sent via the connections to the output layer. Each filter (P) has a dual role: it will only allow a maximum amount of activation to pass at any one given time, this maximum amount decreasing as the sequence proceeds, and it also determines the maximum cumulative activation that may be passed along the respective connection throughout the entire presentation of the input sequence. Several such networks may be used in parallel, each feeding their outputs to a common top layer (T) which adjudicates between the differing outputs and provides a composite answer. <IMAGE>
GB9500605A 1992-07-16 1993-07-15 Dynamic neural networks Expired - Fee Related GB2283605B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP92306516 1992-07-16
PCT/GB1993/001494 WO1994002907A1 (en) 1992-07-16 1993-07-15 Dynamic neural networks

Publications (3)

Publication Number Publication Date
GB9500605D0 GB9500605D0 (en) 1995-03-08
GB2283605A true GB2283605A (en) 1995-05-10
GB2283605B GB2283605B (en) 1995-10-25

Family

ID=8211434

Family Applications (1)

Application Number Title Priority Date Filing Date
GB9500605A Expired - Fee Related GB2283605B (en) 1992-07-16 1993-07-15 Dynamic neural networks

Country Status (3)

Country Link
AU (1) AU4578493A (en)
GB (1) GB2283605B (en)
WO (1) WO1994002907A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111386535A (en) * 2017-11-30 2020-07-07 语享路有限责任公司 Method and device for conversion

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3250918A (en) * 1961-08-28 1966-05-10 Rca Corp Electrical neuron circuits

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3250918A (en) * 1961-08-28 1966-05-10 Rca Corp Electrical neuron circuits

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
IEEE International conference on neural networks, vol.1, 24 July 1988, San Diego, USA, pages 689-696 *
IJCNN 90 International joint conference on neural networks, vol.1,17 June 1990,San Diego,pages 57-62 *
IJCNN-91 International joint conference on neural networks, vol.2,8 July 1991,Seattle, pages 521-524 *
Neural networks, vol.4, no.6, 1991, Oxford, GB, pages 701-709 *

Also Published As

Publication number Publication date
GB9500605D0 (en) 1995-03-08
WO1994002907A1 (en) 1994-02-03
GB2283605B (en) 1995-10-25
AU4578493A (en) 1994-02-14

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Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 19980715