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习题答案 轮机英语期末答案
)Armature
windings of the electric motor for NO.2 deck cargo winch found low insulation.
Windings re-winded,painted and baked dry.
(2) NO.1 main
air compressor failed to build up pressure.The machine disassembled, cleaned
and inspected. The discharge valve plate found broken. The valve palte r ...
技术资料 基于LM3402的LED调光电路设计
The board can be optimized for a 230 V (AC) (50 Hz) or for a 120 V (AC) (60 Hz) mains source. Besides the mains voltage optimization, the board is designed to work with multiple high power LEDs with a total working voltage of between 9 V and 23 V.
The output current can be limited using trimmer R2 ...
单片机编程 A Single-Chip Pulsoximeter Des
This application report discusses the design of non-invasive optical plethysmographyalso called as pulsoximeter using the MSP430FG437 Microcontroller (MCU). Thepulsoximeter consists of a peripheral probe combined with the MCU displaying theoxygen saturation and pulse rate on a LCD glass. The same se ...
系统设计方案 This text surrounds the development of the electric power SCADA system exactly, aiming at the presen
This text surrounds the development of the electric power SCADA system exactly, aiming at the present condition of the our country electric power charged barbed wire net currently, according to the oneself at the e- lectric power protect the profession after the electricity in seven years of develop ...
串口编程 一个简单的ＳＰＩ ＩＰ核
一个简单的ＳＰＩ ＩＰ核，SPI Core Specifications 可以从说明文档中找到！
The simple Serial Peripheral Interface core is an enhanced version of the Serial Peripheral Interface found on Motorola s M68HC11 family of CPUs. The Serial Peripheral Interface is a serial, synchronous communication protocol ...
并行计算 How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters S
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-e ...
人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...
matlab例程 In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: ...
数学计算 This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, N ...
数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...