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This paper is focused on a new object-oriented toolbox, called CEPAGE, devoted to simulation and analysis of Central Pattern Generators (CPGs). A CPG is a little group of neurons producing periodical patterns, which control rhythmic activities of animals. CEPAGE is conceived to carry out brute-force bifurcation analysis, but can also generate data for subsequent continuation analysis through other...
This article offers a general approach to developing methods of determining operation tolerances for the parameters' values of memristor-based artificial neural networks (ANNM), as a system that constitutes an united physical and informational object implemented by the hardware and software learning facilities. While looking for a solution to the issues of analysis and synthesis of this system's tolerances,...
Based on the dynamics of neurons, we use the FPGA to realize Morris-Lecar (ML) model, and to achieve dynamic analysis such as bifurcation.etc in this paper, obtaining the corresponding firing patterns; then we use the FPGA to achieve the ML neuron network which is connected by chemical synapse, and analyze the affection of parameters on the neural network dynamic characteristics; At the same time,...
The paper design a speed-control system of BLDCM by using the parameter self-tuning fuzzy PID control and single neuron adaptive PID control algorithm. Through simulation of double close-loop speed-control system to BLDCM model by using Simulink in MATLAB, we can synthesize the results that the rotational speed is non-overshoot, and high steady precision under single neuron adaptive PID.
In order to effectively evaluate the risk of e-commerce, this paper applies BP neural network to establish risk assessment model, and then use the MATLAB neural network toolbox to process the learning, training and simulation of the model, at last the model is applied to the practice to make the sensitivity analysis of e-commerce risk factor. The result shows that: the method provides an effective...
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