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Description: BP neuron network 数值算法人工只能深度学习(To describe the Bp neuron network Iris recognization)
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Size: 2048 |
Author: 站住光光
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Description: Neurons at progressively higher levels of the visual in which the direction selectivity in MT neurons could system have progressively larger, more complicated arise. It could be generated de novo from nondirectional receptive fields, presumably constructed fromsimpler inputs; it could be inherited from direction-selective inantecedent receptive fields.
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Size: 698368 |
Author: sacoura
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Description: If a neuron receives a stimulus in its resting state its membrane potential is mainly charged by the stimulus directly At the same time(SCM complies with the mechanism of relative and absolute
refractory periods of a real neuron When the neural membrane potential is rising up over the threshold the neuron produces an action potential)
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Size: 4297728 |
Author: song86 |
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Description: 自组织神经网络概念和原理，并重点介绍一下自组织特征映射SOM网络。SOM和现在流行的ANN（MLP）模型在结构上类似，都由非常简单的神经元结构组成，但是SOM是一类“无监督学习”模型，一般的用法是将高维的input数据在低维的空间表示[1]，因此SOM天然是一种降维方法。除了降维，SOM还可以用于数据可视化，以及聚类等应用中。(The concept and principle of self-organizing neural network are introduced, and the self organizing feature mapping SOM network is introduced. SOM and the now popular ANN (MLP) model is similar in structure, the neuron structure very simple, but SOM is a kind of "unsupervised learning" model, the general is the use of input data with high dimension in the low dimensional space for [1], so SOM is a kind of natural dimensionality reduction method. In addition to dimensionality reduction, SOM can also be used in data visualization, clustering and other applications.)
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Size: 533504 |
Author: ZJN27 |
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Description: Neuron coded in verilog
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Size: 230400 |
Author: Tonyan |
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Description: Biological systems are able to recognise temporal sequences of stimuli or compute
in the temporal domain. In this paper we are exploring whether a biophysical
model of a pyramidal neuron can detect and learn systematic time
delays between the spikes from di erent input neurons. In particular, we investigate
whether it is possible to reinforce pairs of synapses separated by a
dendritic propagation time delay corresponding to the arrival time di erence
of two spikes from two di erent input neurons. We examine two subthreshold
learning approaches where the rst relies on the backpropagation of EPSPs (excitatory
postsynaptic potentials) and the second on the backpropagation of a
somatic action potential, whose production is supported by a learning-enabling
background current.
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Size: 458752 |
Author: nabill |
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Description: 该文件描述了srm脉冲神经元模型的图形界面，代码无误，可运行(This is a code of spiking response model. It describe a neuron which can fire spikes.The code is correct and can be run.)
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Size: 4096 |
Author: xinxin123 |
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Description: SOM神经网络也属于自组织型学习网络，只不过更特殊一点它属于自组织特征的映射网络。该网络是由一个全连接的神经元阵列组成的无教师，自组织，自学习的网络。(SOM neural network also belongs to self-organizing learning network, but more specifically, it belongs to self-organizing feature mapping network. The network is a non-teacher, self-organizing, self-learning network composed of a fully connected neuron array.)
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Size: 48128 |
Author: 我们终将遗忘 |
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Description: 去掉神经元类，把功能合并入NetLayer类中，使用矩阵计算加快速度
调整代码实现批量训练方法。
优化程序中numpy库运算顺序，避免产生中间变量(Remove neuron classes, merge functions into NetLayer classes, and use matrix to calculate speed.)
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Size: 12288 |
Author: 朱朱521 |
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Description: 基于RBF神经网络辨识的单神经元PID模型参考自适应控制, 基于RBF神经网络辨识的单神经元PID模型参考自适应控制(Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification)
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Size: 1024 |
Author: rsrsrsrs |
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Description: 该方法随机给定神经元权值中的输入权值和阈值，然后通过正则化原则计算输出权值，神经网络依然能逼近任意连续系统。(The method gives the input weights and thresholds of neuron weights randomly, and then calculates the output weights by regularization principle. The neural network can still approximate any continuous system.)
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Size: 3731456 |
Author: 简小单12 |
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Description: 模拟人思维的第二种方式。这是一个非线性动力学系统，其特色在于信息的分布式存储和并行协同处理。虽然单个神经元的结构极其简单，功能有限，但大量神经元构成的网络系统所能实现的行为却是极其丰富多彩的。(he second way to simulate human thinking. This is a non-linear dynamic system, which is characterized by distributed storage of information and parallel cooperative processing. Although the structure of a single neuron is extremely simple and its function is limited, the behavior of the network system composed of a large number of neurons is extremely rich and colorful.)
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Size: 28672 |
Author: xiuyun |
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Description: 1.批量最小二乘法算法（也称最小二乘的一次性完成辨识算法）
2.递推最小二乘法算法，应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。
3.粒子群算法(PSO)。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．PSO的优点在于简单容易实现并且没有许多参数的调节。
4.BP神经网络，各个神经元仅接收来自前一级的输出，经神经元处理后的信息将输出至下一级，网络中没有反馈，即前一级神经元不会接受后一级神经元的输出。
water tank是原始数据（双容水箱实验）(1. Batch least squares algorithm (also known as least squares one-time completion identification algorithm)
2. Recursive least squares algorithm, applying the recursive algorithm to continuously modify the parameter estimates to obtain more accurate parameter estimates.
3. Particle Swarm Optimization (PSO). The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing between individuals in the group. The advantage of PSO is that it is simple and easy to implement and does not have many parameters to adjust.
4.BP neural network, each neuron only receives the output from the previous level, and the information processed by the neuron will be output to the next level. There is no feedback in the network, that is, the neurons in the previous level will not receive the neurons in the next level Meta's output.
water tank is the original data (double capacity water tank experiment))
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Size: 6144 |
Author: 系基金迪欧 |
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Description: 用于单神经元控制的pid整定，还加带其他两种普通PID整定的对比试验(PID tuning for single neuron control)
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Size: 29696 |
Author: chendiandian |
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