Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.
标签： RegressionObject Polynomial functions contains
上传时间： 2015-04-06
上传用户：rocwangdp
自适应(Adaptive)神经网络源程序 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 Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
标签： collection implement Adaptive adaptive
上传时间： 2015-04-09
上传用户：ywqaxiwang
matlab NumMFs = 2 MF1= in3mf1 : gbellmf ,[3 2 -3 0] MF2= in3mf2 : gbellmf ,[3 2 3 0] [Input4] Name = in4 Range = [-3 3] NumMFs = 2 MF1= in4mf1 : gbellmf ,[3 2 -3 0] MF2= in4mf2 : gbellmf ,[3 2 3 0] [Output1] Name = out Range = [-10 10] NumMFs = 16 MF1= outmf1 : linear ,[41.3729301501 10.029755738 3.1622770253 4.2875458985
标签： gbellmf matlab NumMFs Input4
上传时间： 2015-04-28
上传用户：努力努力再努力
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 Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
标签： Neural collection implement Adaptive
上传时间： 2013-12-23
上传用户：teddysha
物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated facility location Vehicle routing: VRP, VRP with time windows, traveling salesman problem (TSP) Networks: Shortest path, min cost network flow, minimum spanning tree problems Geocoding: U.S. city or ZIP code to longitude and latitude, longitude and latitude to nearest city, Mercator projection plotting Layout: Steepest descent pairwise interchange (SDPI) heuristic for QAP Material handling: Equipment selection General purpose: Linear programming using the revised simplex method, mixed-integer linear programming (MILP) branch and bound procedure Data: U.S. cities with populations of at least 10,000, U.S. highway network (Oak Ridge National Highway Network), U.S. 3- and 5-digit ZIP codes
标签： location location-allocation Continuous alternate
上传时间： 2015-05-17
上传用户：kikye
简单混合衰落信道 This mfile inputs an unmodulated sinewave through a simple Rayleigh two path fading channel and shows the output with phase, gain, and attenuation characteristics via animation.
标签： unmodulated Rayleigh sinewave through
上传时间： 2015-05-17
上传用户：CSUSheep
C++ Demystified: A Self-Teaching Guide by Jeff Kent ISBN:0072253703 McGraw-Hill/Osborne © 2004 This hands-on, step-by-step resource will guide you through each phase of C++ programming, providing you with the foundation to discover how computer programs and programming languages work.
标签： Self-Teaching Demystified McGraw-Hill 0072253703
上传时间： 2013-12-13
上传用户：1427796291
The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.
标签： model distributed associative Hopfield
上传时间： 2015-06-17
上传用户：l254587896
The same two-stage decoder as above. However, when transforming the symbols prior to Viterbi decoding, the amplitude information is ignored and only the phase of the received symbol is employed in the metric computation stage.
标签： transforming two-stage However decoder
上传时间： 2015-07-05
上传用户：sevenbestfei
This mfile illustrates a simple two path Rayleigh multipath fading channel This mfile inputs an unmodulated sinewave through a simple Rayleigh two path fading channel and shows the output with phase, gain, and attenuation characteristics via animation
标签： mfile This illustrates multipath
上传时间： 2014-08-30
上传用户：lindor
