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人工智能/神经网络 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring
different adaptation algorithms.~..~
There are 11 blocks that implement basically these 5 kinds of neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perce ...
matlab例程 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波
基于Volterra滤波器混沌时间序列多步预测
作者：陆振波，海军工程大学
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参考文献：
1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03
2、Scott C.Douglas, Teresa H.-Y. Meng, No ...
网络 penMesh is a generic and efficient data structure for representing and manipulating polygonal meshes
penMesh is a generic and efficient data structure for representing and manipulating polygonal meshes. OpenMesh is developed at the Computer Graphics Group, RWTH Aachen , as part of the OpenSGPlus project, is funded by the German Ministry for Research and Education ( BMBF), and will serve as geometry ...
matlab例程 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.
单片机开发 Semantic analysis of multimedia content is an on going research area that has gained a lot of atten
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neur ...
人工智能/神经网络 很经典的一个算法。大家做工程和通信用的着。遗传算法（Genetic Algorithm）是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型
很经典的一个算法。大家做工程和通信用的着。遗传算法（Genetic Algorithm）是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它是有美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》 ...
电子书籍 Abstract—Stable direct and indirect decentralized adaptive radial basis neural network controllers
Abstract—Stable direct and indirect decentralized adaptive radial basis
neural network controllers are presented for a class of interconnected
nonlinear systems. The feedback and adaptation mechanisms for each
subsystem depend only upon local measurements to provide asymptotic
tracking of a referen ...