Description: 命的一个重要特征就是能够自我繁殖，也就是自我复制。那么，程序能自我复制么？更一般的，一个系统上的构形能自我复制么？答案是肯定的，早在60年代的时候，著名科学家Von Neumann就研究过能够自我复制的细胞自动机，并从理论上证明了它是可能的。后来，随着人工生命的兴起，科学界兴起了研究自我复制的细胞自动机的热潮。在这个程序中，你能看到Langton的自我复制圈、chou的自我复制程序还有Langton的蚂蚁细胞自动机等等。-fate of the important features is a self-propagation, which is self-reproduction. Well, the procedure should be self-replicating? More generally, a system configuration of the self-replication? The answer is yes, back in the 1960s, the famous scientist on the Von Neumann studied to self-replicating cellular automata, and theoretically proved that it is possible. Later, as the rise of artificial life, the scientific community was created in the study self-replicating cellular automata craze. In this process, you can see the self-replication Langton laps chou self-reproduction procedures also Langton's Ant Cellular Automata and so on. Platform: |
Size: 5793 |
Author:若令 |
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Description: 超声波测距系统 原理图的设计方案叙述了一种以单片机为核心，由红外遥控信号接收集成电路、温度传感器等集成元件组成的超声波测距系统。该系统通过温度传感器测量环境温度，得出该温度下声波在空气中的传播速度，根据超声波从发射到遇到障碍物反射回到接收端的传播时间，计算出待测距离 -The schematic design of ultrasonic distance measurement system described in a microcontroller as the core, integrated circuits, temperature sensors and other integrated components of the ultrasonic ranging system by infrared remote control signal receiver. The system by the temperature sensor to measure ambient temperature, to come to the propagation velocity of sound in the air in the temperature, reflected back from launch through an obstacle based on the ultrasonic propagation time of the receiving end, calculate the test distance Platform: |
Size: 5687296 |
Author:传奇 |
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Description: 我国目前对噪音污染的治理方法主要有两种：一种是将水泥路
面的改柏油路面第二种是在距离住宅窗户较近的道路两侧安装隔音
屏障。但效果均不理想。路面改变只可降低汽车行驶摩擦声的3～5
分贝左右。至于安装隔音屏障．由于声波的衍射特性，声音的传播可
以跨越隔音屏障，在中频，高频声波传播中，遇到难以穿透的障碍物
时，背面就有一个声波微弱的影区。所以此举只对相近楼层有所缓
解，对更高楼层的住户而言，效果并不明显-Our current treatment methods for noise pollution, there are two: one is the change of the cement road asphalt surface of the second is near the road at a distance of residential windows installation of noise barriers on both sides. But the results are not satisfactory. The road surface changes can only be reduced by about 3 to 5 db of the friction sound of car driving. As for the installation of noise barriers. Due to the diffraction characteristics of the acoustic sound propagation across the noise barriers encountered impenetrable barrier in the intermediate frequency, high frequency sound wave propagation in the back there is a weak acoustic shadow zone. Eased so move only close to the floor tenants on higher floors, the effect is not obvious Platform: |
Size: 65536 |
Author:cuiguangyu |
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Description: GLSL优化算法，用c++语言编写，适合学习计算数学的和工科类的运用-GLSL optimizer
A C++ library that takes GLSL shaders, does some GPU-independent optimizations on them and outputs GLSL back. Optimizations are function inlining, dead code removal, copy propagation, constant folding, constant propagation, arithmetic optimizations and so on.
Apparently quite a few mobile platforms are pretty bad at optimizing GLSL shaders and unfortunately they also lack offline shader compilers. So using a GLSL optimizer offline before can make the shader run much faster on a platform like that. See performance numbers in this blog post.
Almost all actual code is Mesa 3D s GLSL compiler all this library does is spits out optimized GLSL back, and adds GLES type precision handling to the optimizer.
This GLSL optimizer is made for Unity s purposes and is built-in in Unity 3 and later.
GLSL Optimizer is licensed according to the terms of the MIT license. Platform: |
Size: 1974272 |
Author:shigeaixiaomao |
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Description: 倒傳遞類神經網路,廣泛應用於人工智慧系統-Neural backpropagation is the phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon (normal propagation) and back through to the dendritic arbor or dendrites, from which much of the original input current originated. It has been shown that this simple process can be used in a manner similar to the backpropagation algorithm used in multilayer perceptrons, a type of artificial neural network. In addition to active backpropagation of the action potential, there is also passive electrotonic spread. Platform: |
Size: 3072 |
Author:stanley |
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Description: C and MATLAB implementation for LDPC encoding and decoding-Overview of what is provided
WiFi (IEEE 802.11n) LDPC code construction
Encoding by back-substitution for WiFi LDPC codes
Iterative belief propagation (BP) Decoding (including min-sum)
AWGN simulations for BPSK, 4-ASK, 8-ASK (equivalently QPSK, 16-QAM, and 64-QAM) Platform: |
Size: 321536 |
Author:上善若水 |
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Description: 针对二维波动方程，我们研究了一个实例，即弹性薄膜的波动方程。 其实际物理意义是：两手抓住弹性薄膜的两个位置，分别提起，使薄膜上形成两个峰，在t=0时刻突然松手，根据生活常识可以预料，这两个位置的薄膜将来回震动，与此同时产生的波向四周传播，而且波与波会在相遇处叠加。用matlab编程并将这个过程可视化。(In view of the two-dimensional wave equation, we have studied an example, the wave equation of the elastic film. Its physical meaning is: grasping the two position, the elastic film were filed to form the two peak in the film, t=0 moment suddenly let go, according to the common sense of life can be expected, the two position of the film back to the future shock, at the same time the wave propagation and wave and the wave will be at the meeting point superposition. Programming with MATLAB and visualizing the process.) Platform: |
Size: 471040 |
Author:x啊哈 |
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Description: 本书是深度学习真正意义上的入门书，深入浅出地剖析了深度学习的原理和相关技术。书中使用Python3，尽量不依赖外部库或工具，从基本的数学知识出发，带领读者从零创建一个经典的深度学习网络，使读者在此过程中逐步理解深度学习。书中不仅介绍了深度学习和神经网络的概念、特征等基础知识，对误差反向传播法、卷积神经网络等也有深入讲解，此外还介绍了深度学习相关的实用技巧，自动驾驶、图像生成、强化学习等方面的应用，以及为什么加深层可以提高识别精度等“为什么”的问题。(This book is a true sense of in-depth learning introductory book, in-depth and shallow analysis of the principles of in-depth learning and related technologies. Using Python 3, the book tries not to rely on external libraries or tools, starting from basic mathematical knowledge, to lead readers to create a classic in-depth learning network from scratch, so that readers gradually understand in-depth learning in the process. The book not only introduces the basic knowledge of depth learning and neural network, such as the concept, characteristics, and so on, but also the error back propagation method, convolution neural network and so on. In addition, it also introduces the practical skills related to depth learning, the application of automatic driving, image generation, reinforcement learning and so on, and why to deepen the layer. In order to improve the accuracy of identification and other "why" problems.) Platform: |
Size: 14304256 |
Author:wangjindian00 |
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Description: 逆时偏移波场延拓 使用成像条件为互相关成像条件(Wave field extension of inverse time migration used to simulate wave field back propagation) Platform: |
Size: 1024 |
Author:咩少 |
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Description: 反向传播神经网络进行数据回归预测，选取自变量为多维，因变量为一维(Back propagation neural network is used for data regression prediction. The independent variable is multidimensional and the dependent variable is one-dimensional.) Platform: |
Size: 21504 |
Author:尧尧尧尧尧 |
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Description: 使用遗传算法优化BP神经网络的权值和阈值。BP神经网络是一种按照误差逆向传播算法训练的多层前馈神经网络，是应用最广泛的神经网络。(Genetic algorithm is used to optimize the weights and thresholds of BP neural network. BP neural network is a kind of multilayer feedforward neural network trained according to the error back propagation algorithm, which is the most widely used neural network.) Platform: |
Size: 184320 |
Author:酒精中的太阳 |
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Search - back propagation