… neural networks for chemical process control, both in simulation and online implementation.
… The review reveals the tremendous prospect of using neural networks in process control. It …

… However, the best performance of the FPGA implementation is reasonably acceptable
compared to that of MATLAB. Also, in the FPGA implementation of the online network, we could …

… The control algorithms were implemented in a digital signal processor. Both simulated and
experimental results demonstrated that the RWNNSMC model was able to produce robust …

… PyNN S Python It is for simulator-independent specification of neuronal network models.
Once the model has been implemented with PyNN API and Python, we can run it without …

… is implemented in the form of real-time distributed traffic signal control for intersections in a
large-scale traffic network… In this paper, a new hybrid NN model is used to implement the local …

… processor was already discussed and the implementation detail of the key building blocks
… The implementation detail of the data feeding unit (DFU) including 13b dynamic fixed-point …

… Recently, it has been suggested [9]–[10] that scalable hardware implementations of
neural networks may become possible if a novel device, the memristor [11]–[14], is used. A …

… are implementing an online learning algorithm for the neural … hardware implementation of a
low cost intelligent neural network … used as an online learning algorithm for neural network. A …

… online parameter updating, the paper suggests a new technique using artificial neural networks
… The GA is implemented in this paper to define the optimal settings by minimizing the cost …

… implement a full nonlinear control law. The random training for the neural networks is accomplished
online, which enables better absorption of system uncertainties into the neural …