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Figure 1 Neural calculation for thermoluminescence glow curves.

Open image in new window Fig. 1 Neural network architecture.

This network topology is depicted graphically in Figure 1. Figure 1 Neural network structure.

The calculation process of the model is as follows: Step 1: Neural network initialization.

Several different types of drug delivery systems can generate controlled release of factors that promote (1) neural regeneration and (2) differentiation of stem cells into relevant neural cell types.

Table 3 Performance of neural network-based facial expression recognition module Neural network #1 Neural network #2 Neutral 77.4 Neutral 64.1 Happy 84.1 Happy 83.1 Angry 66.1 Angry 81.4 Sad 78.4 Sad 79.9 Average 76.5 Average 77.1.

(Inset 1) Neural-crest-derived osteocytes (asterisks) in endosteal region, showing their typical morphology revealed by phalloidin staining (green).

These include hematopoietic cells, 20 mammary, 21 mesenchymal, 22 and neural 23 stem cells.

Embryonated eggs expressed markers involved with pluripotency (Sox2 and Oct 3/4), mesenchymal cells (vimentin and Stro-1), neural cells (Nestin), and cellular death by apoptosis (Caspase 3).

Such nonlinear models are available in the literature, for example, Volterra model [1], neural network model [2], MISO model [3], NARMAX model [4], hybrid genetic algorithm [5], extended Kalman filtering [6], or particle filtering [7].

Fig. 2 Neural network structure.