This paper deals with a method for symbolic approximation that exploits the sparsity of circuit matrix to achieve an acceptable speed for large circuits. The method is based on a simplification of the equations of circuit models of linear or linearized circuits in the frequency domain. The simplified model is then analyzed symbolically. The algorithm proposed has been developed with the aim of ...

Boolean Networks can be converted to discrete linear dynamical systems on finite spaces by a semi-tensor-product approach. This approach has been used many study the dynamics and control of systems. However, process getting representation using method is complicated even for simple three-node network requires help computer program. In this work, we show that skip semi-tensor obtain same with st...

Artificial intelligence has revolutionized image and speech recognition, but the neural network fitting method limitations. Neuromorphic chips that mimic biological neurons can better simulate brain’s information processing mechanism. As basic computing component of new neuromorphic network, unit’s design implementation have important significance; however, complex dynamical features come with ...