| 1. | Percolation probability functions for an infinite related model
一类无穷相关渗流模型的渗流概率函数 |
| 2. | In the next article in this series , i ll implement some probability functions using native php code , extend the
在本系列文章的下一篇文章中，我将使用本机php代码实现一些概率函数，用几个输出方法扩展 |
| 3. | Probabilistic neural network ( pnn ) is a classification network , which is based on bayesian decision theory and probability function estimation theory
D . f . specht提出的概率神经网络( probabilisticneuralnetwork , pnn )是基于密度函数估计和贝叶斯决策理论而建立的一种分类网络 |
| 4. | Because the basic probability function could not be gotten analytically , a fuzzy system replaces it and the fuzzy rules ' consequent parameters are gotten by the least squares method based on sampling data
由于基本可信度函数不能解析获得，用一个模糊系统对其予以等价，模糊规则后件参数由样本数据通过最小二乘法获得。 |
| 5. | Combined with the prior distribution of the model parameters and water quality observation data , joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem
结合模型参数的先验分布和水质监测数据，通过贝叶斯定理计算获得了表征参数分布规律的联合后验概率密度函数。 |
| 6. | You shelled out to r to get these values , but i am worried that you will not have the time or inclination to install r . a native php implementation of some common probability functions would resolve that
您需要交给r来处理以获取这些值，但是我担心您会没时间或没兴趣安装r 。某些常见概率函数的本机php实现可以解决这个问题。 |
| 7. | Markov chain monte carlo simulation ( mcmc ) was taken to sample the posterior distribution to get the marginal posterior probability function of the parameters , and the statistical quantities such as the mathematic expectation were calculated
通过马尔科夫链蒙特卡罗模拟对后验分布进行了采样，获得了参数的后验边缘概率密度，并在此基础上获得了参数的数学期望等统计量。 |
| 8. | It is hard to give the basic probability function in the process of using the evidence theory , so the model based on network and d - s evidence is put forward . the simulation of the example show it is feasible and effective
针对运用d - s证据理论时难以确定基本概率分配函数的问题，提出了神经网络与证据推理相结合的决策融合诊断方法，并通过实例验证了这种方法的可行性和有效性。 |
| 9. | Based the basic principle of the accumulation of induced electric charges across the resistivity discontinuities and the induction current channeling inside the conductive bodies inspirited by the mt field , we set up the relation between the measured field on the earth surface and the distribution of the induced source underground by means of the defining the electric charge occurrence probability function and the electric dipole occurrence probability function and the spacial distributing of the " correlation probability " . the " image " of the field sources underground , or the distributing graphy of the induced electric charges and the induced current in the mesuring area can be drawed , from which we can get the outline of the geological anomaly on the meaning of the probability
大地电磁场概率成像方法是一种新的地球物理成像反演方法，它是根据在大电磁波场的激励下，地下介质电阻率间断处产生感应电荷积累和导体内部产生感应电流，从而产生感应电磁场的原理，相应地定义了感应电荷发生概率函数和感应电偶极子发生概率函数，通过“相关概率”发生的大小的空间分布，建立了地表观测场与地下场源空间分布的内在联系。地下场源分布概率的“像” ，即测区的感应电荷和感应电流的概率的分布图像，就是测区内地质体在概率意义下地质异常体的分布轮廓。 |
| 10. | The d - s rule of the information fusion of rockmass mechanical parameters is presented . meanwhile , the basic probability assignments , belief functions , plausibility functions , and similar probability functions are given . this method is applied to an example of analysis and selection for rockmass mechanical parameters of the rock engineering , and the satisfactory results are obtained
构造了岩体力学参数的识别框架，建立了岩体力学参数的基本可信度分配的应用模型，定义了岩体力学参数的信度函数、似真度函数、以及类概率函数，提出了岩体力学参数的d - s信息融合法则，明确了岩体力学参数d - s信息融合方武汉理工大学博士学位论文法的实施步骤。 |
