Abstract

This paper presents results of a research in the field of software development, design methods, as well as training and synthesis of binary neural networks. The research is based on the model of a biomorphic neuron proposed by A.A. Zhdanov, which features noise immunity and is capable of forgetting and additional training. Software tools for designing and visualizing the modeling of binary neural structures are described. Use cases and features of a formal markup language for neural network models, as well as principles of generating deep learning structures, are discussed. A neural network markup language interpreter can automatically generate source code in Verilog with the description of the neural-like implementation of intelligent systems for software and hardware solutions on programmable logic devices (PLDs).

中文翻译：

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设计二进制神经网络的方法和工具

摘要

本文介绍了软件开发，设计方法以及二进制神经网络的训练和综合领域的研究成果。这项研究基于AA Zhdanov提出的生物形态神经元模型，该模型具有抗噪性，能够遗忘和进行额外的训练。描述了用于设计和可视化二元神经结构建模的软件工具。讨论了用于神经网络模型的正式标记语言的用例和功能，以及生成深度学习结构的原理。神经网络标记语言解释器可以在Verilog中自动生成源代码，其中描述了可编程逻辑设备（PLD）上软件和硬件解决方案的智能系统的类神经系统实现。