contents Contents Waveform diversity: a way forward to the future of the radar A. De Maio, A. Farina, F. Gini, L. Patton and M.Wicks Chapter 1 Classical radar waveform design Nadav Levanon Chapter 2 Information theory and radar waveform design Mark
Algorithms Handbook （Ruby 实现） You need a handbook of algorithm recipes! Each algorithm is described in a consistent and structured way with a working code example. You need: Clever Algorithms: Nature-Inspired Programming Recipes. Clever Algorithms i
Michael Nielsen's book,Neural networks, a beautiful biologically-inspired，programming paradigm which enables a computer to learn from observational data
神经网络算法在金融学中的运用 The field of biologically inspired computing has advanced rapidly over the past decade. One offshoot of this progress has been the development of a large family of biologically inspired algorithms. Broadly speaking, biologically inspi
Control and Trajectory Planning of Nonholonomic Systems -- Trajectory Tracking for Nonholonomic Vehicles -- Posture Stabilization of a Unicycle Mobile Robot — Two Control Approaches -- Trajectory Tracking Control for Nonholonomic Mobile Manipulators
Waveform diversity: a way forward to the future of the radar A. De Maio, A. Farina, F. Gini, L. Patton and M.Wicks Contents Chapter 1 Classical radar waveform design Nadav Levanon Chapter 2 Information theory and radar waveform design Mark R. Bell an
In fine art, especially painting, humans havemastered the skill to create unique visual experiences through composing a complex interplay between the con- tent and style of an image. Thus far the algorithmic basis of this process is unknown and there
Algorithms for hyper-parameter optimization.pdf，讲述贝叶斯算法的TPE过程的专业论文The contribution of this work is two novel strategies for approximating f by modeling H: a hier
archical Gaussian Process and a tree-structured parzen estimator. These are described in
In this paper, the local flocking of multi-agent systems is investigated, which means all agents form some groups of surrounding multiple targets with the partial information exchange. For the purpose of realising local multi-flocking, a control algo
A simple biologically inspired feature extraction algorithm is proposed for object recognition. First, a set of statistical topographic filters modelling the properties of complex cells in a primary visual cortex (V1) are learned based on enhanced in
Slow Feature Discriminant Analysis (SFDA) is an attractive biologically inspired learning method toextract discriminant features for classi cation. However, SFDA heavily relies on the constructed time series.For discriminant analysis, SFDA cannot mak
