内容简介：Neurable’s software uses machine learning to measure and classify EEG signals in real time. By combining our proprietary algorithms with deep neuroscience knowledge, Neurable achieves levels of performance that far exceed the current state-of-the-art for d
Translating brain signals into practical insights
Neurable’s software uses machine learning to measure and classify EEG signals in real time. By combining our proprietary algorithms with deep neuroscience knowledge, Neurable achieves levels of performance that far exceed the current state-of-the-art for detecting brain activity.
Our NeuroSelect SDK enables natural and intuitive user interactions by translating control signals from the brain into human intent. Today, Neurable's software controls VR, AR, and XR environments. In the future, we will enable hands-free, voice-free control of mobile devices.
Our NeuroInsight SDK delivers raw data and cognitive insights, which can be used to build apps to tailor experiences to a user’s brain state. Today, our software provides tools to measure the efficacy of VR simulation training for industrial and military applications. In the future, consumers will have access to their own brain data, like other wearable devices help to track our heart rate and count steps.
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粒子群优化算法及其工程应用
刘波 / 2010-8 / 28.00元
《粒子群优化算法及其工程应用》的主要内容是：粒子群优化（PSO）算法是一种基于群体智能的新兴演化计算技术，广泛用于解决科学研究和工程实践中的优化问题。《粒子群优化算法及其工程应用》主要阐述粒子群优化算法的基本理论及其在机械故障诊断和机械工程测试中的应用成果。全书共5章，第1至3章介绍了PSO算法的原理和各种改进、变体PSO算法的原理，第4章介绍了PSO算法在机械工程领域的应用，第5章介绍了PSO算......一起来看看 《粒子群优化算法及其工程应用》 这本书的介绍吧!
