Organically Combinatorial Inference and Optimization in Intelligence System

The inference algorithm is the most important part in intelligence system because the level of intelligence in the system is decided by it. By means of the mutual benefit for inference algorithm of expert system ,fuzzy logic and neural network ,the combinatorial inference technology which is organically composed of these three parts is put forward for inference mechanism in intelligence system. The optimization decision model is also set up. In order to bring all the advantage of every inference algorithm into play and overcome the disadvantage of single inference algorithm the common expert knowledge base is applied to organic combination and concurrent operation of all inference algorithm. In order to realize knowledge share the inference results are optimized by decision technology optimization. The research results show that the organized combinatorial inference and optimization can be applied in engineering practice effectively and is benefit for raising the inference level.     

Fuzzy inference in the inter-wire crosstalk prediction

This paper presents the application of fuzzy inference on the issue of predicting crosstalk between interconnection wires. Effective electromagnetic interference parameters are selected as predictors from the pre-survey data, and the data are classified according to their statistical properties, and then fuzzy implication sentences are merged to determine the relationship between fuzzy implication set. Compared with the artificial neural network forecasting method,fuzzy inference forecasting method can not only make full use of existing experience and knowledge of experts, but also extract antomation summary and the new inference rules. The result of the example shows that the method is feasible.     

多种分类器在农用地分等中的应用及其用法改良

以广东省第二次土壤普查成果资料为主要数据源,选取贝叶斯决策、BP神经网络、概率神经网络、聚类等分类方法分别对数据源进行分类;并且,笔者为了充分利用有监督学习分类准确率高和无监督学习无需标定的学习样本的优点,提出了基于监督--非监督的聚类算法,然后对上述五种方法的评价结果作了比较分析;实验表明文章提出的基于监督--非监督聚类方法只利用少量的有标定学习样本,即可得到较高的分类准确率,特别在少量样本时,该方法能得到比贝叶斯决策方法、BP神经网络和概率神经网络等监督学习方法更好的土地评价结果;在实际应用中,可以尝试结合监督和非监督学习的方法,实现分类正确率和获取大量有类标签的样本之间的折中。     

Modeling of Liquidus Temperature for Al-Si Cast Alloys with Adaptive Neuro-fuzzy Inference System

During the melting and processing practices, an accurate knowledge of liquidus temperature is necessary in the determination of process parameters relating to a given alloy. Adaptive neuro-fuzzy inference system (ANFIS) modeling method has been used to improve accuracy of prediction for liquidus temperature based on the compositions of Al-Si series cast alloys. The developed fuzzy inference system could extract Takagi-Sugeno type fuzzy rules from data directly, and has a feed-forward network structure with supervised learning capability. In order to adapt the parameters of the model, the proposed fuzzy inference system is trained over a wide range of compositions from the published data of industrial alloys. The result shows that, the developed ANFIS model can capture non-linear relationships between compositions and liquidus temperature, and then provides better prediction than the reported multiple statistic analysis. The developed model can be used to predict the liquidus temperature needed in computer modeling and thermodynamic calculation, which are needed in the aluminium alloys casting industry and research.     

Diagnosis Model Based Neutral-network in Galactophore Cancer Cell Identification

To the classified problem of the Galactophore Cancer Cell Identification, the paper researched the classified mechanism and optimized parameter for more-layer radial basis function (RBF) network, adopted the method of gradient descent with momentum and adaptive learned backpropagation, constructed the two-model of the Galactophore Cancer Cell Identification based on BP Neural-Network and RBF Network. Classified principle based on RBF Neural network was also discussed, and the method for data processing was studied. RBF network has more advantage, such as fault tolerance, nonlinear mapping, etc.. Experiment results show that, on the model based RBF Neural Network, performance is steady, training time is short and classified results are good.     

基于模糊数学与神经网络的农业产业集群评价研究

针对目前农业产业集群评价研究现状较少状况,尝试运用模糊数学方法对指标数据运用隶属度函数处理,以一级模糊综合评价向量作为神经网络评价模型的输入,再运用神经网络模型对农业产业集群进行评价,神经网络的非线性处理能力使农业产业集群评价更加科学化,并以连云港农业产业集群评价为例给出了实证研究。     

Design and Application of Compensatory Fuzzy Neural Network Based on Adaptive Learning Rate Method

To overcome the disadvantages of general networks such as slow convergence speed and being unable to combine with the expert knowledge etc,the authors introduces compensatory fuzzy neural cells,integrate the powerful knowledge expressiveness of fuzzy system and the excellent self-learning of neural network,and present a novel Compensatory Fuzzy Neural Network(CFNN) based on Adaptive Learning Rate Method which changes the learning rate using Adaptive Learning Rate Method in dynamic way.Finally this method is applied to the actual case.The result proves that it not(only) can adjust parameters properly on line,but also can optimize relevant fuzzy reasoning in dynamic way,fasten training rate.     

高产稳产优质耐旱型水稻新品种金穗1号的选育及栽培技术研究

金穗1号是以花培品种“早花2号”为亲本,与优良性状互补的品种杂交配组育成的水稻新品种。既保持了水稻品种高产稳产抗性强品质优的特点,而且抗旱性突出,适合旱直播栽培。冀东旱直播高产栽培的关键在于早播,充分利用当地的气候条件。     

育苗轻型基质块配方研究

为充分利用南方果树废弃物资源,以香蕉菠萝废弃茎叶堆肥和椰糠作为基质材料,添加粘合剂、固化剂、改良剂,制作出基质块。采用正交法设定基质块配方,通过测试分析基质块的理化性状,确定最佳的基质块配方。结果表明,香蕉菠萝废弃茎叶堆肥和椰糠的配比是影响基质块理化性状的主要因素,各因素影响的主次顺序为:基质配比改良剂粘合剂固化剂;综合分析,A3B2C3D3组合配方具有最佳的理化性状,即基质配比(堆肥:椰糠)为4:6,粘合剂(聚乙烯醇)为4%,固化剂(硼砂)为2.5%,改良剂为140%。     

Multiple Layer BP Neural Network for Fuzzy Calculating

The FCBP(Fuzzy calculating BP) algorithm which is proposed by this paper hasovercome the sensitivity for samples,reduced the number of input layer's samples,lightened the burden of input layer.it is suitable to fuzzy inference and pattern recognition.     

Necessary and Sufficient Conditions of Fuzzy Circuit for Closed Fuzzy Matroids

Fuzzy circuit is a fundamental conception of fuzzy matroid and it plays an important role in fuzzy matroid. Using fundamental sequence and induced matroid sequence of fuzzy matroid, the fuzzy circuits of closed fuzzy matroids are studied and some results are found out about fuzzy circuits, I which are the necessary and sufficient conditions of elementary fuzzy circuit for fuzzy matroids or closed fuzzy matroids;the property of elementary fuzzy circuit for closed fuzzy ma- troids;the necessary and sufficient conditions of fuzzy circuit for closed fuzzy matroids. These results are helpful to find out fuzzy circuits from some fuzzy dependent sets of closed fuzzy matroids.     

基于公共物品理论的专业镇技术创新平台构建研究 ——以福建省为例

专业镇技术创新平台具有准公共物品属性,在建设与运行过程中容易产生搭便车、投入不足等低效率问题,直接影响着创新平台的建设、发展以及功能的有效发挥。本文从公共物品的视角,以福建省为例,在深入分析构建原则、途径及存在问题的基础上,得出研究结论,并提出推进专业镇技术创新平台建设的若干政策建议。     

THE CHARACTERISTICS OF FUZZY AND ADAPTIVE PI COORDINATE DECISION CONTROLLER

On the basis of analysing problems of conventional fuzzy controller in the design of the structure and algorithm, this paper puts forward a kind of control algorithm that is fuzzy and Adaptive PI coordinate decision controller (FACDC) . It adopts the hierarchial control structure imitating intelligent control and combines fuzzy controller and adaptive PI controller. It takes full advantage of two controllers. Since the algorithm of FACDC in model reference fuzzy adaptive algorithm, it avoids the complexity of conventional adaptive algorithm.     

不同配料比对杏果蔬原汁品质的影响

新疆有着丰富的杏子和番茄资源,为了充分利用这2种果蔬的营养物质,将其加工制成杏果蔬原汁。笔者进行了5种配料的杏果蔬原汁的品质测定,结果表明,用杏子、蔬菜番茄、蔬菜黄瓜质量比为1:2:1的配料,制成的杏果蔬原汁色泽和口感好,胡萝卜素、VC和番茄红素含量较高。     

Use of plastic tubes in raising beet seedlings

A method is described for the use of plastic tubes in stead of common pots for raising seedlings in beet breeding work.The tubes have the advantage in that they are light, take little space and give roots with a better shape, resulting in less tare at the harvest. Part of the prelimnary work can be done in winter. A disadvantage is that plastic does not decay in the soil and may cause inconvenience when a succeding crop is grown. The yield of beets planted in tubes is equal to that obtained with normal culture in the open. The cost of about 1 Dutch cent per tube need not be an objection to using it in field trial work. The tubes can be also used to good advantage with other crops in glasshouses.     

Intelligent Sliding-mode Control of Switched Reluctance Motor

Base finite element solution for the calculations of flux and torque of Switched Reluctance Motor, the state equation of SRM is thus educed. In addition, according to the fact that it is difficult to attain the ideal effect with the regulatory linear control method because of the double salient pole SRM structure of stator and rotor, fuzzy control is proposed and used in the sliding mode control to form a intelligent sliding mode control. We emphasize the introduction of the design method of the intelligent sliding mode control and present the control diagram. The simulation results show that the method of intelligent sliding mode Variable Structure Control is simple, with good dynamic performance and robust property.     

Fuzzy Control and Simulation of Regulating System for Permanent Magnet Synchronous Motor

This paper researches the fuzzy control and simulation of regulating system for PMSM in electrical vehicle. The mathematics model is set up.The PMSM,the PMSM measures demux, dq to abc converter and the three phrase PWM converter models are set up in MATLAB/ Simulink. The fuzzy controller is designed with two dimension fuzzy design method, and take E and EC as input variable, U is the output variable. According to the controller and models, the fuzzy control model of regulating system for PMSM is created in matlab/simulink. At last, to test the accuracy of the control method with the simulation result.     

结合山地景观开发利用的农业观光园区规划设计研究

近些年,随着经济、社会发展和人们的需求,农业观光项目正在迅速蔓延开来,但大多数农业观光园区都是在以前基地条件较好的平原或者平地进行改造和建设。本文通过对山东蓬莱“凤凰山庄”的开发规划进行实践研究,运用相关知识,从功能分区的角度,探讨如何利用山地有利的条件,扬长补短,建成具有独特的山地景观特色的农业观光园,以求能够对同类农业观光园的规划有所启示,获得更好的经济和社会效益。     

Stress Analyze of Medium Belt in Gear Transmission With Meshed Medium Belt

Gear transmission with meshed medium belt is proved feasiable which is, with lower vibration and noises, lower cost and energy saving. To realize "green lubrication". In the type of gear transmission, the medium belt is the feature component, also is one of the key components. The life of medium belt has great effects on the efficiency and performance of the whole transmission. However, in the process of transmission the medium belt is subjected to great tension stress, and easy to break. So we take measures to analyze the tension stress ,compression and friction forcel of the medium belt at first, and take it as the inference to select the materials of the medium belt.