CNN TOPOGRAPHIC SENSORY ORGANS AND METHOD
    1.
    发明授权
    CNN TOPOGRAPHIC SENSORY ORGANS AND METHOD 失效
    神经网络地貌感觉器官和程序

    公开(公告)号:EP0715737B1

    公开(公告)日:2001-11-07

    申请号:EP94927965.7

    申请日:1994-08-25

    IPC分类号: G06F15/00 G06F15/80

    CPC分类号: G06N3/063 G06N3/0454

    摘要: The main design components underlying the implementation of physiologically faithful retina and other topographic sensory organ models on CNN universal chips is discussed. If the various retinas are implemented on a CNN universal chip, in a programmable way, it can be called a "CNN bionic eye", a device capable of performing a broad range of image processing functions similar to those performed by biological retinas. The CNN universal machine has the special properties that it is 1) programmable and 2) includes local memory. Programming is stored in analog and logical form (the analogic program) generated by an analogic programming and control unit, so the functions of the CNN universal machine can be modified as a function of complex internal and external constraints. Further, several CNN bionic eyes and other topographic sensory modalities can be combined on a single CNN universal chip, and, for more complex sensory tasks, the necessary physical microsensors to provide the input signals can be implemented on the chip, in most instances.

    CNN UNIVERSAL MACHINE AND SUPERCOMPUTER
    2.
    发明授权
    CNN UNIVERSAL MACHINE AND SUPERCOMPUTER 失效
    UNIVERSAL神经元网络中的计算机和超级计算机

    公开(公告)号:EP0664908B1

    公开(公告)日:2001-07-11

    申请号:EP94913427.4

    申请日:1993-09-23

    IPC分类号: G06N3/04 G06N3/06 G06G7/60

    CPC分类号: G06N3/04 G06N3/0635

    摘要: This invention has 3 parts. Part 1 proposes a Cellular Neural Network or CNN universal chip (100) architecture with analog stored programs (104, 112) and time-multiplex templates. Hundreds of dedicated CNN chips may be replaced with a single programmable, real-time VLSI chip (100). Each chip (100) includes a global analogic programming unit or GAPU (102). Each chip (100) also includes a grid of enhanced cells (110), with each such cell having local units for: memory (112, 114), logic (116), communications and control (118) and output (120) functions. Part 2 proposes a unique wireless non-optical method for outputting information from the CNN analog array via electromagnetic waves generated by non-linear oscillations and chaos. Part 3 combines a set of analog, or digitally emulated, CNN universal chips (100) to design a CNN array supercomputer capable of solving non-linear partial differential equations (e.g., wave type, Navier-Stokes-type, etc.).

    CNN BIONIC EYE OR OTHER TOPOGRAPHIC SENSORY ORGANS OR COMBINATIONS OF SAME
    3.
    发明公开
    CNN BIONIC EYE OR OTHER TOPOGRAPHIC SENSORY ORGANS OR COMBINATIONS OF SAME 失效
    神经网络的仿生眼或其它形状的感觉器官或联合

    公开(公告)号:EP0715737A1

    公开(公告)日:1996-06-12

    申请号:EP94927965.0

    申请日:1994-08-25

    IPC分类号: G06F15 G06N3 G06T1

    CPC分类号: G06N3/063 G06N3/0454

    摘要: The main design components underlying the implementation of physiologically faithful retina (136-144) and other topographic sensory organ models on CNN universal chips (100) is discussed. If the various retinas (136-144) are implemented on a CNN universal chip (100), in a programmable way, it can be called a 'CNN bionic eye' (174), a device capable of performing a broad range of image processing functions similar to those performed by biological retinas (136-144). The CNN universal machine (100) has the special properties that it is 1) programmable and 2) includes local memory (112). Programming is stored in analog and logical form (the analogic program) generated by an analogic programming and control unit (102), so the functions of the CNN universal machine (100) can be modified as a function of complex internal and external constraints. Further, several CNN bionic eyes (174) and other topographic sensory modalities can be combined on a single CNN universal chip (100), and, for more complex sensory tasks, the necessary physical microsensors (180) to provide the input signals can be implemented on the chip (100), in most instances.

    CNN UNIVERSAL MACHINE AND SUPERCOMPUTER
    4.
    发明公开
    CNN UNIVERSAL MACHINE AND SUPERCOMPUTER 失效
    UNIVERSAL神经元网络中的计算机和超级计算机。

    公开(公告)号:EP0664908A1

    公开(公告)日:1995-08-02

    申请号:EP94913427.0

    申请日:1993-09-23

    IPC分类号: G06G7 G06F15 G06N3 G06T1

    CPC分类号: G06N3/04 G06N3/0635

    摘要: This invention has 3 parts. Part 1 proposes a Cellular Neural Network or CNN universal chip (100) architecture with analog stored programs (104, 112) and time-multiplex templates. Hundreds of dedicated CNN chips may be replaced with a single programmable, real-time VLSI chip (100). Each chip (100) includes a global analogic programming unit or GAPU (102). Each chip (100) also includes a grid of enhanced cells (110), with each such cell having local units for: memory (112, 114), logic (116), communications and control (118) and output (120) functions. Part 2 proposes a unique wireless non-optical method for outputting information from the CNN analog array via electromagnetic waves generated by non-linear oscillations and chaos. Part 3 combines a set of analog, or digitally emulated, CNN universal chips (100) to design a CNN array supercomputer capable of solving non-linear partial differential equations (e.g., wave type, Navier-Stokes-type, etc.).