1.
In the neural network on chip learning, both the neuron activation function and its derivative must be mapped to hardware.
在神经网络的片上学习中,需要将神经元激活函数及其导数都映射为硬件。
2.
Trainable Activation Function RBF Neural Networks Model
激活函数可调的RBF神经网络模型
3.
Performance Analysis of Neural Network with Non-differentiable Activation Function
具有非可微激活函数的神经网络性能分析
4.
The Research of Cellular Neural Networks with Trapezoidal and Impulsive Activation Function;
关于梯形、脉冲激活函数的细胞神经网络研究
5.
FORWARD NEURAL NETWORK WITH NEW ACTIVATION FUNCTION AND THE APPLICATION ON THE WEATHER FORECAST
新激活函数下前馈型神经网络及其在天气预报中的应用
6.
Implementation of Activated Function of Neural Networks with Stochastic Arithmetic Theory Based on VHDL
基于VHDL语言的神经网络激活函数随机运算的实现
7.
Activity-dependent Neuronal Control of Intercellular Communication in DRG Neurons and Fibroblasts;
初级传入神经元激活对周围神经元和非神经元的信号调制
8.
A QUALITATIVE MAPPING MODEL FOR ARTIFICIAL NEURON;
人工神经元的定性映射模型与定性转化函数
9.
Approximation Method of Multivariate Polynomials by Feedforward Neural Networks
多元多项式函数的三层前向神经网络逼近方法
10.
Correlation and Spectrum Analysis of Functions Implemented by Multi-value Multi-threshold Neurons
多值多门限神经元函数的相关性和频谱分析
11.
Neuronal Activities in the Brain Induced by Intraperitoneal Immune and Noxious Stimuli;
腹腔免疫性和伤害性刺激激活的脑内神经元活动
12.
Global Exponential Stability of Periodic Solution of Delayed Cohen-Grossberg Neural Networks with Discontinuous Neuron Activations
具不连续激励函数Cohen-Grossberg神经网络周期解的全局指数稳定性
13.
EFFECT OF STIMULATION OF STN ON THE FIRING ACTIVITIES OF THE SNr NEURONS IN RATS
电刺激大鼠STN对SNr神经元放电活动的影响
14.
Effect of PPARα activation on cholesterol efflux in hippocampal neuron
激活PPARα对海马神经元胆固醇外流的影响
15.
Gauss function is used as neural network's inspirit function , and least square rule is used to recognize the character.
使用了高斯函数作为神经网络的激励函数,并以最小二乘准则对字符进行识别。
16.
Influence on Activation of GnRH Neurons by Acupuncture;
针刺对下丘脑促性腺激素释放激素神经元活动的影响
17.
Observation of the Neurites Growth after Activating Rho Kinase in Cultured Hippocampal Neurons of Rats with Atomic Force Microscopy;
激活Rho激酶对大鼠海马神经元突起生长影响的原子力显微镜观察
18.
A new cascade prcoess neural networks of outputs are time-varied functions
一种输出为时变函数的新型级联过程神经元网络建模研究