铁皮石斛人工繁育技术

以铁皮石斛商品瓶苗和盆栽苗茎段为试材,添加不同浓度6-BA、NAA,诱导茎段腋芽、原球茎和不定根,建立再生体系,快速繁殖铁皮石斛组培苗,以期为秦岭淮河一线以北地区人工繁殖铁皮石斛提供参考依据。结果表明:外植体宜采用70%酒精浸泡20 s,0.1%升汞浸泡8 min消毒;MS+6-BA 3.0~5.0 mg·L^-1+NAA 0.1~1.0 mg·L^-1适合腋芽分化和增殖,分化率92%~100%;1/2MS+6-BA 2.0 mg·L^-1+NAA 0.5 mg·L^-1+土豆泥15%适合原球茎诱导增殖,增殖倍数7.7;1/2MS+NAA 0.3 mg·L^-1生根率为100%;以松针土移栽,成活率83%。     

基于改进粒子群算法的烧结配料预测模型

针对烧结配料系统中的非线性、复杂性和相关性，基于BP神经网络建立烧结配料的预测模型，并采用粒子群算法对预测模型参数进行优化。为了克服粒子群算法的局部收敛性，在迭代过程中，根据迭代次数对惯性权重进行动态非线性调整，从而提高算法的搜索能力。仿真结果表明，所提出的改进粒子群算法与传统的粒子群算法比较，收敛速度快、迭代次数少、具有较强的全局寻优能力。     

Neural network prediction of performance parameters of an inclined plate seed metering device and its reverse mapping for the determination of optimum design and operational parameters

Seed planting equipment with inclined plate seed metering devices is the most commonly used equipment for planting of peanut crop in India. For obtaining the high yield, it is very essential to drop the peanut seeds in rows maintaining accurate seed rate and seed spacing with minimum damage to seeds during metering. This mainly depends on forward speed of the planting equipment, rotary speed of the metering plate and area of cells on the plate. The relationship between these factors and the performance parameters viz., seed rate, seed spacing and percent seed damage can be established using regression analysis. But they may not be very accurate and may pose difficulty in the determination of inputs for a set of desired outputs (reverse mapping). Hence, an attempt has been made in this paper to develop the feed forward artificial neural network (ANN) models for the prediction of the performance parameters of an inclined plate seed metering device. The data were generated in the laboratory by conducting experiments on a sticky belt test stand provided with a seed metering device and an opto-electronic seed counter. The generated data was used to develop both statistical and neural network models. The performance of the developed models was compared among themselves for 4 randomly generated test cases. The results show that the ANN model predicted the performance parameters of the seed metering device better than the statistical models. In order to determine the optimum forward speed of the planting equipment, peripheral speed of the metering plate and the area of cells on the plate to obtain the recommended seed rate of 33.33 seeds/m², seed spacing of 100 mm and percent seed damage of 0.2% with 100% fill of the cells, a novel technique of reverse mapping using ANN model was followed. It was observed that the optimum forward speed of the planting equipment and optimum area of cells on the metering plate had good correlation with size of seed. Linear regression equations were developed to predict the optimum forward speed of the planting equipment and optimum area of cells on the metering plate using the size of seeds as independent parameter. The peripheral speed of the metering plate of 0.237 m/s was found to be optimum for the size of seeds in the range of 95.42-123.01 mm². However, the results need to be verified by conducting planting operation under actual field conditions.     

双壳贝类营养需求及人工饵料的研究进展

工厂化养殖是未来贝类产业可持续发展的必然趋势。由于微藻的培养容易受到气温、光照等自然环境条件的影响,而且占用大量水体,因此研发双壳贝类人工饵料已成为贝类工厂化养殖的关键因素。本文简述了蛋白质、脂类和碳水化合物对双壳贝类生长、繁殖及免疫的影响,详细叙述了微藻干粉、大型海藻处理物、酵母、微粒饲料、液态微胶囊饲料和固态微胶囊饲料6种人工饵料的研究进展,以期为研发新型的双壳贝类人工饵料及开展工厂化养殖提供依据。     

基于MATLAB实现模糊神经网络模型在企业水环境中的应用

指出了水质评价是进行水环境容量计算和实施水污染控制规划的重要基础。应用模糊神经网络原理，以某企业污水处理站的检验数据为依据，选择3个评价参数，使用MATLAB函数工具箱编程，建立了T—S模型，经过仿真得出评价结果，研究表明：该方法能正确评价水质的样本，具有较好地客观性和预测性。     

基于粒子群的多BP网络并行非线性预测控制

针对传统预测控制算法在解决非线性系统控制问题时，存在难以建立精确的数学模型、控制精度不高等缺点，提出一种新的非线性系统预测控制方案。以多BP神经网络作为并行预测模型，克服误差积累以及网络规模庞大的缺点；运用粒子群优化(PSO)算法完成非线性预测控制的滚动优化。仿真表明，该方案的控制效果比常规动态矩阵控制效果有所提高，该方案是可行和有效的。     

人工哺育大熊猫幼仔1月龄内的饲喂及体重增长变化研究

人工圈养大熊猫出生幼仔一般采用自然哺育和人工哺育2种形式。人工哺育大熊猫幼仔1月龄内的饲喂及体重增长变化研究结果表明,3只研究个体均饲喂异母初乳时,其生长发育良好。经方差分析,3只幼仔1月龄内饲喂和体重变化均无显著差异。因圈养大熊猫产双胎的几率较大,所以采取人工哺育可以保证幼仔的成活率。目前人工哺育的方式主要是采集初乳及母乳和配制人工乳来进行人工育幼。     

基于神经网络模型的青岛市城区土壤重金属污染源定位

建立基于遗传算法的BP神经网络系统,该模型可以有效描绘区域中重金属元素的分布情况,并由此通过各元素浓度极大值点求出污染源近似坐标,实现对污染源的定位.将该模型运用于青岛市,根据青岛市不同功能区的土壤重金属含量调查结果,实现了对可能重金属元素污染源位置的预测.     

银纹夜蛾人工饲养技术研究

本文在研究了各种环境因子对银纹夜蛾实验种群影响的基础上，进一步研究了食量，低温保种及饲养管理技术，设计了一种便于收集卵的新型产卵笼，并总结了人工饲养银纹夜蛾的技术要点。