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     In this paper, the nurtificial neural network theory is introduced into the fire control field,and established a multi-layered Neural Network model with the input parameters of altitude H ,velocity V and dive angle λ,the B-P learning algorithm is used to approach the range A and fall down time T of the trajectory.
     将神经网络理论引入火控领域,建立一个输入参数为高度H、速度V和俯冲角λ的多层神经网络模型,用B-P学习算法,对弹道的射程A和落下时间T进行拟合。
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     Time
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     Time is...
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     350 t Well Car
     350t落下孔车
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     The purdah of the Athens Olympic Games has fallen.
     雅典奥运会已经落下帷幕。
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     Development of 350 t Well Car
     350t落下孔车的研制
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The total lifting and lowering time of the gate under operating conditions ranges from 3 to 20 min.6.The gate can be stopped firmly in any intermediate position, i.
      


Conventional methods used in China for determination of approximate trajectory parameters do not Provide satisfactory accuracy needed by air-to-ground missiles.This paper is an exploratory study of the possibility of accurate determination of such approximation with neural network.It appears that the new approach is promising for satisfying the accuracy requirements of Chinese air-to-ground missiles.The author first establishes a multi-layered neural network model, whose input layer takes in 3 parameters-height...

Conventional methods used in China for determination of approximate trajectory parameters do not Provide satisfactory accuracy needed by air-to-ground missiles.This paper is an exploratory study of the possibility of accurate determination of such approximation with neural network.It appears that the new approach is promising for satisfying the accuracy requirements of Chinese air-to-ground missiles.The author first establishes a multi-layered neural network model, whose input layer takes in 3 parameters-height H. Velocity V and dive angle λ-and whose output layer gives out two approximate results-the range A and fall down time T. Approximate results are supposed to get nearer and nearer to the true results as number of iterations increases. When teacher output exists, the accuracy of an actual output for a prescribed number of iterations can be determined.With the usual Back-Propagation learning algorithm, the author, after some computing,determines the sample mean-square deviation of A and T to be respectively 0.886% at 6180 iterations and 2.67% at 1 800 iterations. Thus neural network appears promising for satisfying high accuracy requirements of air-to-ground missiles.

应用人工神经网络的理论和方法来计算机载武器空对地攻击的弹道参数,通过建立多层的神经网络,在输入为高度H,速度V和俯冲角λ时,用B-P学习算法,对弹道参数A(射程)和T(落下时间)进行了逼近,为弹道参数的计算探索了一种新的方法和途径.

In this paper, the nurtificial neural network theory is introduced into the fire control field,and established a multi-layered Neural Network model with the input parameters of altitude H ,velocity V and dive angle λ,the B-P learning algorithm is used to approach the range A and fall down time T of the trajectory. Simulation result shows,that Artificial neural network is a powerful tool for trajectory parameter approach with satisfactory accuracy.

将神经网络理论引入火控领域,建立一个输入参数为高度H、速度V和俯冲角λ的多层神经网络模型,用B-P学习算法,对弹道的射程A和落下时间T进行拟合。仿真结果表明,神经网络是用于弹道参数拟合的一个有效的方法,并取得了满意的精度。

The problems existed of the seeding with watering in a hole were analyzed. And a new irrigating- sowing machine was studied which could ensure seeds and water to flow into seedbed furrow together at the same time. There is a control system in the machine which is composed of single-chip computer, photo sensors and other electronic devices. The principle and the design process in hardware and software were introduced. This system can make the structure of seeding-machine simpler and the water quantity adjustment...

The problems existed of the seeding with watering in a hole were analyzed. And a new irrigating- sowing machine was studied which could ensure seeds and water to flow into seedbed furrow together at the same time. There is a control system in the machine which is composed of single-chip computer, photo sensors and other electronic devices. The principle and the design process in hardware and software were introduced. This system can make the structure of seeding-machine simpler and the water quantity adjustment easier.

穴播穴灌坐水播种是一种有效提高出苗率的播种方式,但是现有穴播穴灌播种机存在着结构复杂、种液难同穴、施水量难控制等问题。为此,设计了一种以单片机AT89C51为核心的控制系统,利用光电传感器监视种子落下的时间,通过中断方法保证种液同穴;利用定时器不同的定时时间达到调节施水量的目的;从硬件和软件两方面给出了系统设计的基本原理和实现方法。该系统可以达到简化播种机结构、提高种液同穴率、方便调节施水量的目的。

 
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