rls算法自适应去噪

说明：  matlab gui 界面，很简单的一个界面(matlab gui interface, a simple interface)

声场计算模型for3d的in文件写入，仅供参考(to write the in-file that the for3d programme need.)

matlab工具箱，适合初学者缩短学习时间，或者适合专业人士查询。(matlab toolbox, shorten the learning time for beginners or for professionals inquiries.)

用训练序列和lloyd算法，对一个正弦信号数据进行标量量化。(Using the training sequence and lloyd algorithm, we take a sinusoidal signal data for scalar quantization to deepen our understanding.)

正交规一化的Zernike 多项式，用来拟合人眼波前像差。(The normalized Zernike orthogonal polynomials to fit the eye aberrations.)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

说明：  mushroom classify and train

terraria1.2.3.1已修复源码(terraria YM)

LVQ神经网络的分类——乳腺肿瘤诊断,包含源代码和数据(LVQ neural network classification- breast cancer diagnosis, including source code and data)

The CCA-fMRI Toolbox implements the use of canonical correlation analysis (CCA) for detecting brain activity patterns recorded by functional magnetic resonance imaging (fMRI).