机译:Sigmoid函数的受控精度逼近,可有效地基于FPGA实现人工神经元
Department of Electricity and Electronics, Faculty of Sciences and Technology, University of the Basque Country, Leioa 48940, Vizcaya, Spain;
Department of Electricity and Electronics, Faculty of Sciences and Technology, University of the Basque Country, Leioa 48940, Vizcaya, Spain;
Department of Electricity and Electronics, Faculty of Sciences and Technology, University of the Basque Country, Leioa 48940, Vizcaya, Spain;
Department of Electronic Technology, Technical Industrial Engineering School of Bilbao, University of the Basque Country, Bilbao 48013, Vizcaya, Spain;
机译:S形函数的逼近和人工神经元硬件实现的导数
机译:S形函数的逼近和人工神经元硬件实现的导数
机译:高效控制迭代方法的高效凝固函数近似
机译:使用人工神经网络的S型激活函数中非线性系统预测的通用逼近
机译:反向传播神经网络中新的Sigmoid函数的实现。
机译:使用高斯-维沙特过程进行基本函数逼近的高效贝叶斯分层函数数据分析
机译:高效FPGA实现Multilayer Perceptrons的Sigmoid和Bipolar Sigmoid激活功能