Bridging of layers of neural networks

D. Kopčanski, S. Odri, D. Petrovacki
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Abstract

This paper involves the evolution of neural networks based on parameters gained from a backpropagation training algorithm. The bridging of layers of neural networks is suggested as a new process in this evolutionary process, in addition to cell division and degeneration of synapses and cells. The process of bridging the layers was performed in three different ways in order to find an appropriate algorithm.
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神经网络层的桥接
本文涉及基于反向传播训练算法获得的参数的神经网络进化。除了细胞分裂、突触和细胞退化外,神经网络层间的桥接被认为是这一进化过程中的一个新过程。为了找到合适的算法,桥接层的过程以三种不同的方式进行。
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