基于智能算法的机械加工参数优化方法研究

将BP神经网络预测模型应用于电火花加工参数优化方法中,从而针对不同的加工工艺要求预测出最佳的脉冲间隔t0和宽度t1以及峰值电流ie组合。由于常规的BP神经网络存在容易陷入极小值以及学习速率低等缺点,而常规GA优化算法存在容易陷入局部最优解、容易早熟等问题,提出一种对GA算法的染色体结构和遗传算子进行改进并引入自适应交叉和变异概率优化BP神经网络结构参数的改进型GA-BP神经网络算法。最后通过实验,对电火花加工参数优化模型性能进行评价,与常规GA-BP神经网络算法建立的参数优化模型相比,提出的参数优化模型的预测结果更加接近真实值,预测的平均准确率达到96.13%,高于常规GA-BP神经网络算法建立预测模型5.2%。     

基于上转换纳米粒子的低损伤神经界面技术

Optogenetics is a neuromodulation technology that combines light control technology with genetic technology, thus allowing the selective activation and inhibition of the electrical activity in specific types of neurons with millisecond time resolution. Over the past several years, optogenetics has become a powerful tool for understanding the organization and functions of neural circuits, and it holds great promise to treat neurological disorders. To date, the excitation wavelengths of commonly employed opsins in optogenetics are located in the visible spectrum. This poses a serious limitation for neural activity regulation because the intense absorption and scattering of visible light by tissues lead to the loss of excitation light energy and also cause tissue heating. To regulate the activity of neurons in deep brain regions, it is necessary to implant optical fibers or optoelectronic devices into target brain areas, which however can induce severe tissue damage. Non- or minimally-invasive remote control technologies that can manipulate neural activity have been highly desirable in neuroscience research. Upconversion nanoparticles (UCNPs) can emit light with a short wavelength and high frequency upon excitation by light with a long wavelength and low frequency. Therefore, UCNPs can convert low-frequency near-infrared (NIR) light into high-frequency visible light for the activation of light-sensitive proteins, thus indirectly realizing the NIR optogenetic system. Because NIR light has a large tissue penetration depth, UCNP-mediated optogenetics has attracted significant interest for deep-tissue neuromodulation. However, in UCNP-mediated in vivo optogenetic experiments, as the up-conversion efficiency of UCNPs is low, it is generally necessary to apply high-power NIR light to obtain up-converted fluorescence with energy high enough to activate a photosensitive protein. High-power NIR light can cause thermal damage to tissues, which seriously restricts the applications of UCNPs in optogenetic technology. Therefore, the exploration of strategies to increase the up-conversion efficiency, fluorescence intensity, and biocompatibility of UCNPs is of great significance to their wide applications in optogenetic systems. This review summarizes recent developments and challenges in UCNP-mediated optogenetics for deep-brain neuromodulation. We firstly discuss the correspondence between the parameters of UCNPs and employed opsins in optogenetic experiments, which mainly include excitation wavelengths, emission wavelengths, and luminescent lifetimes. Thereafter, we introduce the methods to enhance the conversion efficiency of UCNPs, including optimizing the structure of UCNPs and modifying the organic dyes in UCNPs. In addition, we also discuss the future opportunities in combining UCNP-mediated optogenetics with flexible microelectrode technology for the long-term detection and regulation of neural activity in the case of minimal injury.     

纳米金杂化酶研究进展

随着纳米技术和生物技术的发展,将纳米颗粒材料与天然酶结合起来构建纳米杂化酶,可以解决酶的负载量低、活性和稳定性不好等问题.目前,新型纳米颗粒材料-纳米金被广泛应用于构建杂化酶体系.我们将从纳米金杂化酶的种类、制备方法、优势以及应用等方面对纳米金杂化酶的研究进展进行概述.     

TD-SCDMA系统的机遇与挑战

本文通过对TD—SCDMA系统的性能加以深入分析,并对其在网络规划中的特点与WCDMA系统进行比较,进一步加深对TD—SCDMA系统的认识。     

下一代移动核心网络架构及其平台的探讨

1 前言 中国移动市场竞争更加白热化和ARPU必然下降的趋势,不断督促着设备提供商和电信运营商建设更有成本优势、更强大、方便未来演进的下一代移动核心网络.具体来说下一代移动核心网络应达到以下要求:     

提高服务质量实现良性演进——浅析浙江网通BOSS二期扩容实践

1前言 电信市场从垄断过渡到竞争,企业相互之间进行市场渗透非常频繁,在这种竞争环境中,谁能以市场为导向、快速推出新业务组合,满足市场需求,谁就具有竞争优势,要具备这种竞争优势,电信企业必须具备市场分析和预测能力,具备以"为客户提供优势服务"为目标的业务实施能力,具备制订适应市场变化的业务政策的能力.因此,新一代业务支撑系统应能快速定位市场,并具备快速适应因此产生的业务变化的能力.     

基于优势效应理论的双绞线简化建模

在对双绞线电磁干扰进行研究中,一些学者建立了精确的干扰模型,但并不适合工程应用.本文根据电磁兼容优势效应理论,推导出双绞线传导干扰主要由差模电流引起,辐射干扰主要由共模电流引起.分别利用广义二端口网络模型和电流元分析方法建立双绞线串扰和辐射的简化模型,从而有效估算双绞线串扰电压和对外辐射场的大小,为工程人员采取有效措施抑制互连设备电磁干扰提供了理论帮助.     

光靠低价保持优势亚马逊终会资金枯竭

商业竞争中,最需要避讳的事就是大家以同样的速度朝同样的方向走。你必须建立与众不同的新事业,实践新构想。实现差异化经营。     

基于免疫算法的空战目标分配

目标分配是现代空战系统对抗中要首先面对的问题,它是一个组合优化问题.首先用优势函数来表明敌我态势,建立机群对抗优势函数矩阵.然后将一种新型的启发式算法--免疫算法用于解决目标分配问题.免疫算法具有很好的全局搜索能力和收敛性,能够很好地解决这类问题,实例也证明了该方法是可行和有效的.     

光纤通信网络传输技术的应用优势

在经济全球化的现代化发展趋势下,信息和数据信号的传输已经成为众多行业关注的话题。作为一种先进的通信技术,光纤通信网络传输技术为企业的发展和信号传输提供了强有力的保障,并为广大人们的娱乐和日常生活提供了技术基础。如今,光纤接入技术和波分复用技术都存在各自的优势,并得到广泛的运用。因此,本文将以光纤通信网络传输技术为基础,探讨该技术的应用优势,研究其应用现状,并对其未来的发展趋势进行探讨。