Aiming at the problem,on base of analyzing model of improved BP neural network based on Fletcher-Reeves conjugate gradient method,combining with kinds of influence factors of gas content in coal seam,the paper established a predicting model of gas content based on improved three-layer BP neural network and did concrete network training and predicting simulation.

When the condition was increased,for nonconvex functions,the article proved the global convergence of modified Fletcher-Reeves conjugate gradient algorithm of the nonmonotone line searches.

Firstly, the method changes the ill-posed equation of image reconstruction into function minimization problem, and then solves the function effectively using Fletcher-Reeves algorithm (FR).

As a special case, the global convergence property of the Fletcher-Reeves method with Goldstein line searches is derived.

Some properties of the Fletcher-Reeves method play an important role in the analysis.

Training method of multi-layered neural network based on conjugate gradient algorithm;

Blind image restoration based on space domain conjugate gradient algorithm;

With the introduction of punishment function and the appropriate modification of objective function,a sintering blending optimization algorithm is proposed,which takes full advantage of the global search ability of particle swarm optimization(PSO) algorithm and the local search ability of conjugate gradient algorithm with constraints.

3D resistivity inversion of vertical finite line source using conjugate gradients;

Power/Ground Network Solver Based on Incomplete Cholesky Decomposition Conjugate Gradient *;

A generalized conjugate condition and related conjugate gradient methods;