Buy Opportunities and Challenges for Next-Generation Applied Intelligence
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Artificial intelligence > Opportunities and Challenges for Next-Generation Applied Intelligence: (214 Studies in Computational Intelligence)
Opportunities and Challenges for Next-Generation Applied Intelligence: (214 Studies in Computational Intelligence)

Opportunities and Challenges for Next-Generation Applied Intelligence: (214 Studies in Computational Intelligence)


     0     
5
4
3
2
1



Available


X
About the Book

The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

Table of Contents:
Bio-informatics.- An Intelligent System for Analyzing Gene Networks from Microarray Data.- Predicting Residue-Wise Contact Orders in Proteins by Support Vector Regression with Parametric-Insensitive Model.- SNP-Flankplus: SNP ID-Centric Retrieval of Flanking Sequences.- Tumor Classification on Mammographies Based on BPNN and Sobel Filter.- Computer Vision.- An Adaptive Biometric System Based on Palm Texture Feature and LVQ Neural Network.- A Binarization Approach for Wafer ID Based on Asterisk-Shape Filter.- Feature Particles Tracking for the Moving Object.- Break-Segment Detection and Recognition in Broadcasting Video/Audio Based on C/S Architecture.- Data Mining and Knowledge Discovery.- A Time Series Case-Based Predicting Model for Reservation Forecasting.- A Filtering Approach for Mining Frequent Itemsets.- Mining Data Streams with Skewed Distribution by Static Classifier Ensemble.- Accumulative Influence Weight Collaborative Filtering Recommendation Approach.- RAD: A Radar-Alike Data-Clustering Algorithm for Large Databases.- Decision Support Systems.- Applying ELECTRE and Maximizing Deviation Method for Stock Portfolio Selection under Fuzzy Environment.- Constraint Programming Approach for a University Timetabling Decision Support System with Hard and Soft Constraints.- Behavioral Scoring Model for Bank Customers Using Data Envelopment Analysis.- Decision Support for Combinatorial Reverse Auction with Multiple Buyers and Sellers.- Visualization-Based Approaches to Support Context Sharing towards Public Involvement Support System.- Genetic Algorithms.- A Case Study of Genetic Algorithms for Quay Crane Scheduling.- Genetic Algorithm and Time-Scale Separation on the Reduced-Order Observer-Based Control Design for a Class of Discrete Systems.- AKDB–Tree: AnAdjustable KDB-Tree for Efficiently Supporting Nearest Neighbor Queries in P2P Systems.- Optimal Lot Sizing and Algorithm for Dynamic Pricing under Random Yield and Demand.- Intelligent Design and Manufacturing.- Collaborative Production Machine Choice System Based on Hierarchical Case Based Reasoning.- Passive Analog Filter Design Using GP Population Control Strategies.- Thruster Fault-Tolerant for UUVs Based on Quantum-Behaved Particle Swarm Optimization.- Intelligent System for Locating, Labeling, and Logging (ISL 3).- Probabilistic Analysis of Information Center Insecurity.- Intelligent Systems.- Application of Combined Forecasting Models to Intelligent Transportation Systems.- Fuzzy Performance Analysis Model Based on Grid Environment.- Emotional Processes in Computer Games.- Probability Reasoning Internet Assessment System with Rule Usage Structures and Similarity Comparisons.- Integration Systems for Real Life Applications.- Combining Genetic Algorithm and Simulated Annealing to Design H 2 / H ??? Deconvolution Filter with Missing Observations.- The Hybrid Model Development of Clustering and Back Propagation Network in Printed Circuit Board Sales Forecasting.- Toward the Knowledge Circulation between Institutions and Public Audiences with Virtual Agents.- Muon Tomography Algorithms for Nuclear Threat Detection.- Machine Learning.- A Model-Based Software Reasoning Approach to Software Debugging.- Learning Rules from Multiple Criteria Decision Tables.- A Mobile Location Algorithm with Least Range and Clustering Techniques for NLoS Environments.- Learning Interaction Structure Using a Hierarchy of Dynamical Systems.- Fuzzy Assessment for Survey Defuzzified by Signed Distance Method.- Multi-Agent Systems.- Multi-Mobile Agent Based Virtual Alliance Formation(MAVAF) Platform.- On Supporting Cross-Platform Statistical Data Analysis Using JADE.- Building Agents That Learn by Observing Other Agents Performing a Task: A Sequential Pattern Mining Approach.- A Multi-agent System Architecture for Personal Support during Demanding Tasks.- Planning and Scheduling.- The Selective Traveling Salesman Problem with Regular Working Time Windows.- Scheduling for Dedicated Machine Constraint Using the Shortest Paths in Graphs.- Comparing Path Length by Boundary Following Fast Matching Method and Bug Algorithms for Path Planning.- A Capacitated Vehicle Routing Problem with Toll-by-Weight Rule.- Mining Interesting Knowledge.- A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions.- Comprehensible Knowledge Discovery Using Particle Swarm Optimization with Monotonicity Constraints.- Incorporation of Adapted Real World Tournament Selection into Artificial Immune Recognition System.- Competition State Visualization for Sales Record Mining.


Best Sellers


Product Details
  • ISBN-13: 9783540928133
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Height: 235 mm
  • No of Pages: 344
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 3540928138
  • Publisher Date: 19 May 2009
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Series Title: 214 Studies in Computational Intelligence


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Opportunities and Challenges for Next-Generation Applied Intelligence: (214 Studies in Computational Intelligence)
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG -
Opportunities and Challenges for Next-Generation Applied Intelligence: (214 Studies in Computational Intelligence)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Opportunities and Challenges for Next-Generation Applied Intelligence: (214 Studies in Computational Intelligence)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!