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Multi-layer artificial neural network and controlling method thereof

A technology of artificial nerve and control method, applied in the field of multi-layer artificial neural network, can solve the problems of increasing the number of neurons, huge hardware cost burden, etc., and achieve the effect of improving the degree of coincidence, saving hardware costs, and saving computing resources

Active Publication Date: 2017-11-21
KNERON INC
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AI Technical Summary

Problems solved by technology

However, when the number of layers increases, the number of neurons required in the entire network will increase significantly, resulting in a huge hardware cost burden

Method used

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  • Multi-layer artificial neural network and controlling method thereof
  • Multi-layer artificial neural network and controlling method thereof
  • Multi-layer artificial neural network and controlling method thereof

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Embodiment Construction

[0029] It should be noted that the drawings of the present invention include functional block diagrams representing various interrelated functional modules. The drawings are not detailed circuit diagrams, and the connection lines therein are only used to represent signal flow. Various interactions between functional elements and / or programs do not necessarily need to be achieved through direct electrical connections. Furthermore, the functions of individual components do not have to be allocated as shown in the drawings, and distributed blocks do not have to be realized by distributed electronic components.

[0030] A specific embodiment according to the present invention is a multi-layer artificial neural network, which includes a plurality of neurons, a storage device and a controller. The controller is designed to make the storage device provide parameters corresponding to different operation layers to the neurons at different time points.

[0031] figure 1 An artificial...

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Abstract

A multi-layer artificial neural network including a plurality of artificial neurons, a storage device, and a controller is provided. The plurality of artificial neurons are used for performing computation based on plural parameters. The storage device is used for storing plural sets of parameters, each set of parameters being corresponding to a respective layer. At a first time instant, the controller controls the storage device to provide a set of parameters corresponding to a first layer to the plurality of artificial neurons so that the plurality of artificial neurons form at least part of the first layer. At a second time instant, the controller controls the storage device to provide a set of parameters corresponding to a second layer to the plurality of artificial neurons so that the plurality of artificial neurons format least part of the second layer.

Description

technical field [0001] The present invention relates to artificial neural networks, and in particular to multilayer artificial neural networks that can be used for deep learning. Background technique [0002] The concept of using artificial neural networks for machine learning has existed for a long time, but previous research has not been able to advance smoothly due to limitations in the computing power of processors. In the past ten years, with the rapid progress in various technologies such as processor computing speed, memory access speed, and machine learning algorithms, artificial neural networks that can produce correct judgment results have gradually become possible. Therefore, in automatic driving, image recognition, In the fields of natural language recognition and data mining, it has been highly valued again. [0003] The most basic computing unit in the brain, the neuron, collects multiple input signals through multiple dendrites (dendrites), and transmits outp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/10
CPCG06Q50/10G06N3/063G06N3/04
Inventor 刘峻诚
Owner KNERON INC
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