<delect id="woc48"></delect> <strike id="woc48"></strike>
reduced basis source code
上傳時間： 2013-11-29
上傳用戶：liglechongchong
finite element reduced basis 有限元縮減基源程序
標簽： element reduced finite basis
上傳時間： 2013-12-05
上傳用戶：agent
another source code for reduced basis
標簽： another reduced source basis
上傳時間： 2017-04-04
上傳用戶：libenshu01
its a 3d MoM for RWG basis function and have a fun.
上傳時間： 2017-05-17
上傳用戶：teddysha
basis for CSharp programming.
標簽： programming CSharp basis for
上傳時間： 2017-06-12
上傳用戶：wqxstar
you can lear about networks and their basis with this book
標簽： networks about basis their
上傳時間： 2014-01-19
上傳用戶：gut1234567
ADIAL basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.
標簽： introduced literature Broomhead Function
上傳時間： 2017-08-08
上傳用戶：lingzhichao
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 reference trajectory. Due to the functional approximation capabilities of radial basis neural networks, the dynamics for each subsystem are not required to be linear in a set of unknown coeffi cients as is typically required in decentralized adaptive schemes. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds.
標簽： decentralized controllers Abstract adaptive
上傳時間： 2017-08-17
上傳用戶：gdgzhym
meshfree method lecture notes using radial basis function
標簽： meshfree function lecture method
上傳時間： 2017-08-18
上傳用戶：shus521
meshfree method lecture notes using radial basis function
標簽： meshfree function lecture method
上傳時間： 2014-01-22
上傳用戶：BIBI
