Hybrid intelligent model

Final sales forecast 9.1 Framework of the hybrid intelligent model. 

Table 9.1 Parameters of hybrid intelligent models used in experiments...

In the third part, we design a hybrid intelligent algorithm to solve the model by combining stochastic simulation and genetic algorithm. 

Next we will design a hybrid intelligent algorithm based on stochastic simulation to solve this model. 

To further verify the validity of the algorithm and the random expected value model, we simulate different values of parameters of hybrid intelligent algorithm ... 

Hybrid Intelligent Algorithm Design 5.3.1 Illustration of Model Calculations... 

Katsura, Y. Matsumoto, K. Ohnishi, Modeling of Force Sensing and Validation of Disturbance Observer for Force Control, IEEE Trans, on Industrial Electronics, Vol. 54, No.l, (2007), pp.530 - 538. W. Gueaieb, F. Karray and S. Al-Sharhan, A Robust Hybrid Intelligent Position/Force Control Scheme for Cooperative Manipulators, lEEE/ASME Trans. Mechatronics, vol. 12, no. 2, pp. 109-125, (2007). 

DEMETRA models are based on hybrid techniques. Each model for trout, daphnia, quail, or bee is composed of a number of submodels. A hybrid model integrates, in an intelligent way, the results of the submodels to achieve better prediction values capable of reducing false negatives. The regulator can see the minimal and maximal values of the individual models, should the regulator decide to use the lowest predicted value. Another innovative feature of DEMETRA is that its models are freely available (http //www.demetra-tox. net) for wide use, and the user has only to calculate 2D descriptors. 

Intelligent control models, hybrid, 164 Intelligent transportation systems (ITS), 819, 822... 

---