Distributed computational intelligence applied in bioinformatics
Distributed computational intelligence applied in bioinformatics
... work in the area of computational intelligence also grows rapidly Computational Intelligence (CI) is an area of fundamental and applied research involving numerical information processing (in contrast ... The traditional searching methods are very troublesome and time-consuming This project brings the new engineering insight into the bioinformatics field, making the searching m...
Computational intelligence techniques in visual pattern recognition
... the class label information during training Hand is detected using skin color and intrinsic geometry of the hand is used for gesture recognition The algorithm achieved 90% average recognition rate ... challenges in visual pattern recognition techniques assure wide scope for research Image feature extraction, feature selection, and classification are the different stages in a v...
Computational Intelligence In Manufacturing Handbook P3
... holonic concepts into a manufacturing setting: Holon: An autonomous and cooperative building block of a manufacturing system for transforming, transporting, storing, and/or validating information ... be applied to manufacturing enterprise integration, supply chain management, intelligent design, manufacturing scheduling and control, material handling, and holonic manufacturing syste...
Computational Intelligence In Manufacturing Handbook P5
... Simulation of scheduling rules in a flexible manufacturing system using fuzzy logic, IEA-AIE96 Ninth International Conference on Industrial and Engineering Application of Artificial Intelligence and ... Part Dispatching Rules in FMSs This section explains a fuzzy real-time routing selection and an intelligent decision-making tool using fuzzy expert systems for machine loading in an FM...
Computational Intelligence In Manufacturing Handbook P4
... components for cellular manufacturing, keeping a concurrent engineering framework in mind It utilizes two middle layers, as shown in Figure 4.4 The inputs for the network include design features ... themselves In the traditional part–machine incidence matrix, assuming binary values, sequence information is ignored To include sequence information, a sequence-based incidence matrix is in...
Computational Intelligence In Manufacturing Handbook P7
... An intelligent design retrieving system should aim toward a natural linking of the next process planning and manufacturing stages 7.2.4 Conducting Retrieval Tasks with a Certain Degree of Incomplete ... engineering designs can be adapted in the research to represent a design One major disadvantage of using image-based indexing is that the disappearance of hidden features and internal line...
Computational Intelligence In Manufacturing Handbook P6
... design objectives may include minimizing intercellular movements, minimizing set-up time, minimizing machine load variation or maximizing machine utilization, and minimizing the system’s costs ... Algorithm for Finding the Optimum Process Routings for Parts The aim of a cellular manufacturing system design is minimizing the cost of the system It can be gained by dividing the system into ind...
Computational Intelligence In Manufacturing Handbook P9
... crossover of two strings Input: Output: string-1 and string-2 offspring-1 and offspring-2 Determine a cut point randomly from all the positions of a string Each string is divided into two parts, ... to be used in order to convert a piece-part from its original form to a final form that is specified on a detailed engineering drawing For machining, process planning includes determination of ......
Computational Intelligence In Manufacturing Handbook P8
... applying parallel machines in industrial manufacturing, only a handful of papers are found on sequencing machining operations for parallel machines [3, 22] The combinatorial nature of sequencing ... capability of activating i cutting tools (I Ն i Ն 1) on distinct MUs, in parallel, either for the purpose of machining a single workpiece, or for the purpose of machining, in parallel, l wo...
Computational Intelligence In Manufacturing Handbook P12
... of improving the product quality, increasing the effect events in production, increasing autonomity and intelligence in manufacturing lines, reducing the reaction time of manufacturing systems, ... and information processing tool for use in monitoring and control of manufacturing process In most manufacturing processes, the role of the artificial neural network is to perform...
Computational Intelligence In Manufacturing Handbook P11
... or slip) Casting the slip in a plaster mold for a specified duration Removing the mold Air drying the cast piece Spray gazing the dried piece Firing the gazed piece in a kiln Inspecting the finished ... Machining Application Abrasive flow machining (AFM) was originally developed for deburring aircraft valve bodies It has many applications in the aerospace, automotive, electronic, and die-m...
Computational Intelligence In Manufacturing Handbook P10
... Resource-Constrained Project Scheduling Problem Parallel Machine Scheduling Problem Job-Shop Scheduling Problem Multistage Process Planning Part Loading Scheduling Problem Introduction Production scheduling ... recent interest in using genetic algorithms to address the problem In the following sections, we explain how to solve them with genetic algorithms, including resource-constrained p...
Tài liệu Computational Intelligence In Manufacturing Handbook P19 doc
... approximations, during which the training data set is split into certain training data set and possible training data set Subsequently, these training sets are forwarded to the GA-based search engine for ... training data set correctly For each certain rule extracted from the certain training data set, RClass* uses a so-called completeness index to indicate the number of observations in the...
Tài liệu Computational Intelligence In Manufacturing Handbook P18 pdf
... moving-window sample method is chosen, except that ARL values of the designs using the moving-window sample method are in general smaller than those using the independent method, considering ... method Applying the neural fuzzy method in SPC makes the pursuit of automation in quality engineering a possibility More research in this direction is needed as manufacturing and service ind...
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