Search - lambda iteration method

Search - lambda iteration method - List

[AI-NN-PR] marq DL : 0: ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％％ Given a set of corresponding input-output pairs and an initial ％ network, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.- Train a two layer neural network with the Levenberg-Marquardt method. If desired, it is possible to use regularization by weight decay. Also pruned (ie. not fully connected) networks can be trained. Given a set of corresponding input-output pairs and an initial network, [W1, W2, critvec, iteration, lambda] = marq (NetDef, W1, W2, PHI, Y, trparms) trains the network with the Levenberg-Marquardt method . The activation functions can be either linear or tanh. The network architecture is defined by the matrix NetDef which has two rows. The first row specifies the hidden layer and the second row specifies the output layer.
Update : 2025-03-15 Size : 3kb Publisher : 张镇
[matlab] general DL : 0: Code For Lambda-iteration method of solving Economic dispatch problem
Update : 2025-03-15 Size : 1kb Publisher : saumyagautam2007
[matlab] pso DL : 0: The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units
Update : 2025-03-15 Size : 530kb Publisher : amijeet
[matlab] dispatch DL : 0: lambda iteration method for dispatch
Update : 2025-03-15 Size : 1kb Publisher : rajendra
[Other] Desktop DL : 0: Matlab code for the economic dispatch using lambda iteration method
Update : 2025-03-15 Size : 2kb Publisher : vivekanandan
[matlab] Economic-Dispatch--Newton-Method DL : 0: This program finds economic distribution of power by the units to meet the given load. Newton Method is adapted in the program. Lambda value is assumed first and improved after each iteration. The updated value of lambda is -> New Lambda Old Lambda +[ (demand -Sum of units)/Sum(1/coefficient of P in question)]-This program finds economic distribution of power by the units to meet the given load. Newton Method is adapted in the program. Lambda value is assumed first and improved after each iteration. The updated value of lambda is -> New Lambda Old Lambda+[ (demand-Sum of units)/Sum(1/coefficient of P in question)]
Update : 2025-03-15 Size : 2kb Publisher : 靳绍珍