cost function

The paper also designs a cost function whose minimum could be a basis of the next hop routing node.

The derivatives of the unknown parameters were introduced into the output error cost function of the system.

The role of statistical inference is to estimate the best parameter values or constants in an assumed cost function.

This paper overviews some commonly used cost function of the adaptation algorithms that minimize them and analyse convergence simply.

Production function and cost function are the two functions which are close correlation and mutual correspond in the course of production.

This cost function results in the independence of the outputs with desirable moments such that the original sources are separated properly.

In reality, the unit cost decreases as the amount transported increases, resulting in a concave cost function.

Mutual information is chosen as cost function in order that the transformation function can be achieved accurately.

The optimal control of uncertain piecewise linear systems is converted to the optimization of upper and lower bounds of the cost function.

Regression software programs graph the sample points and give the (cost-function) formula of the straight line that best fits the points.

In this paper, a cost function related to residual errors was introduced, and a weighted robust algorithm was presented.

An adaptive-cost-function optimal controller design for a PWR nuclear reactor.

Lastly, the energy consumption is analyzed theoretically, and the near optimal algorithm to minimize the power cost function is presented.

The concept and applicable field of LQR are expanded by DLQR to optimize the system with a free-form cost function.

This paper defines cost function of reimbursing Bahncard, based on which, the issue of reimbursable Online Bahncard is put forward.

This method, by using wavelet packet transforms and cost function, could depend on difference kind of audio data to choice its best base.

The new cost function reflects the relative importance of each cost component, and has optimal class separability.

Firstly, the cost function of water network was studied and the deficiency and solution of traditional cost formula of network was pointed.

This algorithm realizes the efficient clustering by minimizing the corresponding cost function iteratively .

Finally, a bi-iterative algorithm for minimizing the bi-quadratic cost function is utilized to optimize iteratively the two weights.

fitting problems are also discussed assumed linear marginal cost function.

Firstly, a new global energy cost function is constructed using the disparity discontinuity and occlusion information in the scanlines.

An approximate minimizer of cost function is found by using matching pursuit algorithm, and the filters are selected.

A multitaper spectral estimator is built based on the minimization of a cost function.

And all the estimated data are collected in cost function database.

A new cost function based on the diagonalization of correlation matrices is proposed to measure the independency of output signals.

In this paper, a new cost function based on the diagonalization of correlation matrices is proposed to perform blind source separation.

Tree edit distance Assume that we are given a cost function defined on each edit operation.

A proper cost function is minimized to acquire the global optimal match by using the algorithm of dynamic programming.

It is a key issue how to design cost function of A~* algorithm.

and we can prove under some mild conditions , the optimal solution that minimizing the cost function is uniquely exists and finite.

an encoding mode which can lead the value of the Lagrange cost function to be minimum is selected as the encoding mode of the base layer;

Economy of Scale and Scope in Chinese Commercial Banking: The Application of a Composite Cost Function

Estimation of the Maximal Times of Income or Cost Function in Equation of Higher Degree with One Unknown by Deviation-Value Law

Firstly, a new global cost function was proposed which resolved inconsistency between scanlines and preserved disparity discontinuities;

Mathematic Demonstration of Envelop Features of Long-run Cost Function Under the Conditions of Two Model Production Functions

A Further Study of Cost Function under Cobb-Douglas Production Function

E-Commerce; Depot Location; Integrated Logistics System; Generalized Cost Function;

Improvement of Cost Function for Route Planning of a Cruise Missile

Robust Cost Function Based Parameter Learning Algorithm for Stochastic Fuzzy Neural Network

Determination of life-cycle cost function for earthquake-resistant structures

revenues & costs Profits are maximized when the slope of the revenue function is equal to the slope of the cost function

Research on Air Pollution Abatement Cost Function of Industrial Enterprise

The Study of Short-Run Cost Function and its Application in The Decision of Enterprise Management

Experimental Study on the Performance of Support Vector Machine with Squared Cost Function

A Smallest Cost Function Frame Estimation Algorithm Based on Spatial-Temporal Correlation in Neighboring Frames of Stereoscopic Sequences

A method for estimating power customer interruption cost function

A Study on the Relationship Between Production Function and Cost Function

Study on Cost Function Optimization Technique of Route Planning

Cost function, optimal pipe diameter and economical flow velocity of water supply system

Research on Cost - function of Sewage Treatment Units

Analysis of Cost Function of Drainage Pipeline Cost Index

The Effect of the Convexity of the Agent's Cost Function on Designing the Model of Inverse Choice

Researches on cost function of irrigation pipes

Empirical research on prospect theory and cost function

A Multi-model Identification Algorithm Based on Weighted Cost Function and Application in Thermal Process

s average variable cost function. ? An average fixed cost curve

Recognition arithmetic of underwater acoustic signals based on fusing energy cost function

An Analysis to the Cost Function of Seeking Rent Actions

An Algorithm of Symbol Synchronization and Frequency Offset Estimation for OFDM Based on the Cost Function

Study on the Cost Function Models in the Decision of Enterprise Cost

Logistics Center Location Bi-level Programming Model Based on Cost Function Constraint

Cost Function Optimization of the Sewer Pipe Based on the Genetic Algorithms

Gradient-descent is used to train the weights which make the cost function minimized;

The selection of neuron PID controller parameters based on certain cost function

Prove properTies of Cost Function

An On-line Whitening Algorithm for Blind Source Separation Based on Cost Function

The Theory of Cost and Cost Function

An Image Segmentation Method Based on Cost Function and Fuzzy Entropy

A Method of Multi-object Tracking Based on Cost Function of Features

Adaptive Video Coding Based on Bayes-Cost Function