...值神经元和二值逻辑基本运算 在传统二值神经网络研究中,神经元的输出转移函数一般有三种非线性函数“1: 硬限幅(Hard Limiter)、阈逻辑(Threshh01d)和S型(sig∞id),它们各自的曲 线见图2.1.1。
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数值计算结果表明,异步OCDMA系统,假设所提出的代码显示优异的性能在双硬限幅器的存在。
The numerical results show that the asynchronous OCDMA system assuming the proposed code reveal excellent performance in the presence of double hard limiters.
分析结果表明,基于修正素数码的光硬限幅器同步系统的误码性能优于无光硬限幅器系统的误码性能。
Numerical results show that the performance of systems with optical hard limiter is superior to that without optical hard limiter.
提出了基于硬限幅功能函数的前向神经网络的分类学习算法,并将其应用于可分凸集或不交集合的分类。
A learning algorithm based on a hard limiter for feedforward neural networks (NN) is presented, and is applied in solving classification problems on separable convex sets and disjoint sets.
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