搜索资源列表
Pitch-angle-control-in-wind-turbines-above-the-ra
- Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks
example4_2
- 单层感知器中的具体例子。运用单层感知器来处理问题。-Single sensor in specific examples. The use of single-layer perceptron to deal with the problem.
asabi
- neural network perceptron m file
PENGENALAN-POLA-MENGGUNAKAN-ALGORITMA-PERCEPTRON.
- this source code is my exercise in scool
PerceptronProfessor2
- Perceptron implementation, with basics characteristics and comented in portuguese, every detail.
PerceptronMinimosQuadrados
- Perceptron implementation with rules of Least Square on the classifier loop, highly comented in portuguese. Very useful-Perceptron implementation with rules of Least Square on the classifier loop, highly comented in portuguese. Very useful!!
Perceptron_Simple
- Implementation of simple neuron perceptron
mlp_exemple
- mlp :Multi Layer Perceptron
Controle
- MAtlab identification system using multi layer perceptron
Perceptrons--
- a sample of perceptron model in neural network
neural
- 類神經網路理論起源於1950年代，當時科學家仿造人類大腦的組織及運作方式，開始提出稱之為「感知機」（Perceptron）的神經元模型，這是最簡單也是最早的類神經模型，感知機通常被拿來做分類器（Classifier）使用。-Neural network theory originated in the 1950s, when scientists counterfeit organization and operation of the human brain, began to make ca
07169195
- 作者提出了一种新型的神经网络结构，性能比常用结构高很多-Approximate computing emerges as a promising technique for high energy efficiency. Multi-layer perceptron (MLP) models can be used to approximate many modern applications, with little quality loss.
Fast-neural-network-learning
- Measuring the blood urea nitrogen concentration is crucial to uate dialysis dose (Kt/V) in patients with renal failure. Although frequent measurement is needed to avoid inadequate dialysis efficiency, artificial intelligence can repeatedly pe
2012.李航.统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外，每章介绍一种方法。叙述从具体问题或实例入手，由浅入深，阐明思路，给出必要的数学推导，便于读者掌握统计学习方法的实质，学会运用。为满足读者进一步学习的需要，书中还介绍了一些相关研究，给出了少量习题，列出了主要参考文