Finite element approach for structural dynamic analysis using generalized eigenvalue - based neurocomputing 有限元结构动力分析的广义特征值的神经计算
In the last chapter , a neural computing algorithm for bit rate control is designed 在本文最后一章里,提出一种利用神经计算进行视频输出码率控制的算法。
The simulation result shows that the quantum neuron network is superior to classical bp and rbf network for the financial data analysis example 仿真结果显示,就算例而言,该量子神经计算网络的性能优于传统的神经网络。
The innovation of the thesis as follows : advances the generalized computing theory that combines symbolic computing with neural computing , fuzzy computing and evolutionary computing 本文的价值在于:提出了融符号计算、神经计算、模糊计算和演化计算于一体的广义计算理论。
Exploration of the convergence of theoretical work and experimental data on neuronal computations that highlight the feedback requirement for the systematic operation of the nervous system 集中探讨了神经计算科学的理论工作和实验数据,特别讨论了神经系统进行系统性运作时反馈的必要性。