WO1999012085A3 - Heterogeneous neural networks - Google Patents

Heterogeneous neural networks Download PDF

Info

Publication number
WO1999012085A3
WO1999012085A3 PCT/IL1998/000430 IL9800430W WO9912085A3 WO 1999012085 A3 WO1999012085 A3 WO 1999012085A3 IL 9800430 W IL9800430 W IL 9800430W WO 9912085 A3 WO9912085 A3 WO 9912085A3
Authority
WO
WIPO (PCT)
Prior art keywords
neural network
user
definition file
neural networks
compiles
Prior art date
Application number
PCT/IL1998/000430
Other languages
French (fr)
Other versions
WO1999012085A2 (en
Inventor
Yuval Bahrav
Moshe Gur
Original Assignee
Camelot Information Technologi
Yuval Bahrav
Moshe Gur
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 Camelot Information Technologi, Yuval Bahrav, Moshe Gur filed Critical Camelot Information Technologi
Priority to EP98941668A priority Critical patent/EP1025478A2/en
Priority to AU89961/98A priority patent/AU8996198A/en
Publication of WO1999012085A2 publication Critical patent/WO1999012085A2/en
Publication of WO1999012085A3 publication Critical patent/WO1999012085A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G06N3/105—Shells for specifying net layout

Abstract

A method of constructing a heterogeneous neural network is disclosed. The method starts when a user generates a definition file of a desired network. Then the user compiles the definition file to create an exemplary neural network. If the compiler cannot generate a neural network based on the definition file, the user is so informed and the user must modify the definition file. If the compilation succeeds, the user defines at least one input for testing the neural network. If the user desires, the input set may be used to debug the neural network, i.e., to determine if it compiles with its specification. Additionally, the user will usually ascertain that the specification of the neural network are reasonable. Finally, the neural network may be integrated into the total system.
PCT/IL1998/000430 1997-09-04 1998-09-03 Heterogeneous neural networks WO1999012085A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP98941668A EP1025478A2 (en) 1997-09-04 1998-09-03 Heterogeneous neural networks
AU89961/98A AU8996198A (en) 1997-09-04 1998-09-03 Heterogeneous neural networks

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US5781897P 1997-09-04 1997-09-04
US60/057,818 1997-09-04

Publications (2)

Publication Number Publication Date
WO1999012085A2 WO1999012085A2 (en) 1999-03-11
WO1999012085A3 true WO1999012085A3 (en) 1999-06-03

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IL1998/000430 WO1999012085A2 (en) 1997-09-04 1998-09-03 Heterogeneous neural networks

Country Status (3)

Country Link
EP (1) EP1025478A2 (en)
AU (1) AU8996198A (en)
WO (1) WO1999012085A2 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9147155B2 (en) * 2011-08-16 2015-09-29 Qualcomm Incorporated Method and apparatus for neural temporal coding, learning and recognition
KR20180051987A (en) 2016-11-09 2018-05-17 삼성전자주식회사 Method of managing computing paths in artificial neural network
EP3602413B1 (en) 2017-05-20 2022-10-19 Google LLC Projection neural networks
CN111144561B (en) * 2018-11-05 2023-05-02 杭州海康威视数字技术股份有限公司 Neural network model determining method and device
US11610134B2 (en) * 2019-07-08 2023-03-21 Vianai Systems, Inc. Techniques for defining and executing program code specifying neural network architectures

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US5140530A (en) * 1989-03-28 1992-08-18 Honeywell Inc. Genetic algorithm synthesis of neural networks
US5394510A (en) * 1989-11-16 1995-02-28 Yozan Inc. Neural network-type data processing system recognizing a predetermined shape using inhibitory connections
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US5216752A (en) * 1990-12-19 1993-06-01 Baylor College Of Medicine Interspike interval decoding neural network
US5349646A (en) * 1991-01-25 1994-09-20 Ricoh Company, Ltd. Signal processing apparatus having at least one neural network
US5157275A (en) * 1991-03-22 1992-10-20 Ricoh Corporation Circuit employing logical gates for calculating activation function derivatives on stochastically-encoded signals
US5255348A (en) * 1991-06-14 1993-10-19 Nenov Valeriy I Neural network for learning, recognition and recall of pattern sequences
US5361326A (en) * 1991-12-31 1994-11-01 International Business Machines Corporation Enhanced interface for a neural network engine
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Also Published As

Publication number Publication date
EP1025478A2 (en) 2000-08-09
WO1999012085A2 (en) 1999-03-11
AU8996198A (en) 1999-03-22

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