Publication

Convex combination initialization method for kohonen neural network implemented in the CMOS technology

Pierre-André Farine, Rafal Tomasz Dlugosz
2012
Conference Papers

Abstract

The paper presents a new CMOS implementation of the initialization mechanism for Kohonen self-organizing neural networks. A proper selection of initial values of the weights of the neurons exhibits a significant impact on the quality of the learning process. A straightforward realization of the initialization block in software is simple, but in hardware it requires providing the programming signal to all weights of each neuron. This makes the layout of the chip very complex, especially in case of large networks. This paper presents a new approach, in which to program particular neuron weights we use the same lines that are used by the adaptation block. This proposal is the first known transistor level implementation of the Convex Combination Method (CCM) that so far was implemented only in software.

Official source

https://infoscience.epfl.ch/entities/publication/41d4200c-e10a-4597-b992-d3c9b390bb78

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Pierre-André Farine, Rafal Tomasz Dlugosz
2012
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/41d4200c-e10a-4597-b992-d3c9b390bb78

About this result

Related concepts (30)

CMOS

Complementary metal–oxide–semiconductor (CMOS, pronounced "sea-moss", siːmɑːs, -ɒs) is a type of metal–oxide–semiconductor field-effect transistor (MOSFET) fabrication process that uses complementary and symmetrical pairs of p-type and n-type MOSFETs for logic functions. CMOS technology is used for constructing integrated circuit (IC) chips, including microprocessors, microcontrollers, memory chips (including CMOS BIOS), and other digital logic circuits.

Learning

Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed by humans, animals, and some machines; there is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single event (e.g. being burned by a hot stove), but much skill and knowledge accumulate from repeated experiences. The changes induced by learning often last a lifetime, and it is hard to distinguish learned material that seems to be "lost" from that which cannot be retrieved.

Signal

In signal processing, a signal is a function that conveys information about a phenomenon. Any quantity that can vary over space or time can be used as a signal to share messages between observers. The IEEE Transactions on Signal Processing includes audio, video, speech, , sonar, and radar as examples of signals. A signal may also be defined as observable change in a quantity over space or time (a time series), even if it does not carry information.

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