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The Problems of Design and Application of Switching Neural Networks in Creation of Artificial Intelligence

机译:开关神经网络在人工智能创造中的设计与应用问题

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The new switching architecture of the neural networks was proposed. The switching neural networks consist of the neurons and the switchers. The goal is to reduce expenses on the artificial neural network design and training. For realization of complex models, algorithms and methods of management the neural networks of the big size are required. The number of the interconnection links “everyone with everyone” grows with the number of neurons. The training of big neural networks requires the resources of supercomputers. Time of training of neural networks also depends on the number of neurons in the network. Switching neural networks are divided into fragments connected by the switchers. Training of switcher neuron network is provided by fragments. On the basis of switching neural networks the devices of associative memory were designed with the number of neurons comparable to the human brain.
机译:提出了神经网络的新交换架构。切换神经网络由神经元和切换器组成。目标是减少人工神经网络设计和培训的费用。为了实现复杂模型,需要算法和管理方法的大尺寸的神经网络。互连链接的数量“每个人都有每个人”的神经元数量。大神经网络的培训需要超级计算机的资源。神经网络训练的时间还取决于网络中神经元的数量。切换神经网络被分成由切换器连接的碎片。切换器神经元网络的训练由碎片提供。在切换神经网络的基础上,将缔合记忆的装置设计成具有与人脑相当的神经元数。

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