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Artificial Neural Networks Jobs

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Fixed-Price - Entry Level ($) - Est. Budget: $150 - Posted
I need a Matlab Programmer who is familiar with Fuzzy logic and neural network. We have the time entrance and leaves of occupants in a building. Based on these data we need to create a pattern to predict the time of occupants ( by neural network). In the second phase, we want to optimize energy in a specific room based on 1) real-time occupancy 2) historical pattern ( neural network) . We want to control the energy for HVAC systems and lighting systems. We also need to consider these parameters for our optimizations as well : the thermal comfort, indoor and outdoor temperature, humidity , peak time and general costs. In that specific room we have two HVAC systems and nine users. We can divide the room into two thermal zones. • For occupancy we have 5 situations which needs to control HVAC and lighting based on each condition 1) Wander : do not need to change in HVAC systems but needs to change the lighting systems if the zone is empty 2) Perform research : This is an stabile situation and we can control HVAC based on number of users in the room and total temperatures 3) Go to the coffee room, rest room: We can reduce the HVAC load and off lighting systems based on the number of users in the thermal zone. 4) Go to the meeting, class room, Lab: we can reduce loads more than before if the zone is empty or reduce based on the number of users in the thermal zone to save energy 5) Leave the building : Turn off HVAC and lighting if the zone is empty We also need to arrange a schedule based on users pattern to turn on HVAC systems and heat or cool the room slowly before the first person comes to reduce more energy. All I need is the Fuzzy and neural network and the circuit that included them, then we can test with real data to see how much energy we can save. Please only if you have related experience, apply for the job. This is the third time that I post the job but at the end programmers rejected the assignment.!!!!
Skills: Artificial Neural Networks Architecture Artificial Intelligence Building Regulations
Fixed-Price - Intermediate ($$) - Est. Budget: $650 - Posted
A new startup firm based in Toronto, Canada is seeking EOI from a Service Provider to execute a project to facilitate the launch of its business activity in the education sector. Project Description The preliminary stage of the project is to replicate the concept in Campus Explorer (www.campusexplorer.com)but should capture several countries, programs of study and institutions. The project however is much broader in scope than Campus Explorer. The functionality of the platform mirrors the concept in Plenty of Fish (the dating website) http://www.pof.com/and other websites whose functionalities are driven by machine learning algorithms.Users’ preferences and information on credentials providedwill serve as pointersfor the algorithm to decide on the best matching institutions. Decision making will be dynamic and tailored uniquely to the individual. Beyond recommending specific institutions, the algorithm should be able to scrape information on admission requirements and application checklist from identified institutions and provide the information to users. This helps to narrow down users’ options and provide the recipient institution with the best of candidates. Service Provider Skillset: Data Scientist/Programmer, Web/App Developer and Web Tool Specialist. Interested Service Providers should send a brief EOI stating the following: a. their understanding of the project b. demonstration of experience, expertise and capacity to do the job c. references to similar jobs completed d. proposed time frame to accomplish the project e. Cost (a fixed price fee is preferred and not hourly billing)
Skills: Artificial Neural Networks Artificial Intelligence CSS Internet research
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
the project is a java software it read text files CSV and output CSV it use one library for text categorisation/classification feature, the library read a sentence and return its probable category, it need a training process before to be able to recognize categories correctly We need a Java developer experienced with machine learning based toolkit for processing of natural language text Please give us some examples of work you have do with this kind of library Project is composed of the following modules Module google-query - query google with a text ( the list of texts query are provided in text file) - parse google first 100 results - load all 100 results pages Module Analyse-Page ( analyse each page loaded by module google-query ) - with jsoup split the page into paragraph text - analyse each paragraph with the Paragraph-Analyser - analyse all the paragraph results with the Page-Paragraphs-Analyser Module Text entity recognition - use http://alias-i.com/lingpipe/demos/tutorial/ne/read-me.html or http://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.namefind or better - we provide list of street name, people name, cities names, and some items-categories/groups lists to train model - In the text paragraph , All entity recognized should be replaced by their entity name Module Paragraph-Analyser trainer - use http://alias-i.com/lingpipe/demos/tutorial/classify/read-me.html or http://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.doccat or better - We provide a list of 1000 paragraph texts with the category/classification - the trainer will build a model from the 1000 sample to use by Module Paragraph-Analyser Module Paragraph-Analyser - take a paragraph text as input and give a probable detected category/classification - use library http://opennlp.apache.org/index.html or http://alias-i.com/lingpipe/index.html or better Module Page-Paragraphs-Analyser trainer - We provide 1000 pages URL and the category/classification of each pages-url - we need to load the url and to process it with Module Paragraph-Analyser - the Page-Paragraphs-Analyser receive the Paragraph-Analyser result and is trained to match the provided category/classification - use http://alias-i.com/lingpipe/demos/tutorial/classify/read-me.html or http://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.doccat or better Module Page-Paragraphs-Analyser - receive category/classification of all paragraphs of the page, then it concatenate all into a single text string - give a probable global category/classification - as input is a text string composed of multiple words we use the same library : http://opennlp.apache.org/index.html or http://alias-i.com/lingpipe/index.html or better note: We call a page : a HTML page loaded from a URL We call a paragraph : a text inside a HTML-Block-Tag like <DIV>, <TD>, <H1> all others tags like <A>,<P>,<B>,<SPAN> are stripped out from the block , only text remain We call a category/classification : a simple text-name (color, city, etc..) We call a Text entity : a text (example green, dark red, yellow) which have a entity name (example colors)
Skills: Artificial Neural Networks Natural language processing
Hourly - Expert ($$$) - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
There are a couple parts to this project. 1. Article Spinner that can Spin an article to be very unique, yet appear to be written by a human. Similar to WordAI Turing Article Spinner. This must also pass Copyscape. 2. I need a Summary of the article in 2-3 sentences. 3. I need 3 Unique titles generated about the article. I will need this system to have an API so my current system can post into the system you are building and get a JSON response.
Skills: Artificial Neural Networks Artificial Intelligence Machine learning
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
Our clients want deep consulting. They are large multinational corporations in - Banking - Manufacturing - Fashion They want to understand the dangers and opportunities that Artificial Intelligence and Machine Learning poses to them. They also want to start an inhouse development team. FAST CONTACT: http://c8think.co/member/freelancer.php
  • Number of freelancers needed: 7
Skills: Artificial Neural Networks Artificial Intelligence Machine learning
Fixed-Price - Entry Level ($) - Est. Budget: $20 - Posted
I have a set of time-series medical data, about 8000+ points, i want to predict the next 5-20 data points. There're 7 parameters: see plot attachment. Based on characteristics, different prediction method should be used. If you're interested, describe the algorithms/predictive functions that you'll use. Neural networks, ARIMA, etc
Skills: Artificial Neural Networks Algorithms Artificial Intelligence Data Analytics
Fixed-Price - Expert ($$$) - Est. Budget: $100 - Posted
The specifications should contain: 1. Uses 2. Overall program architecture (Neural Networks, RBM, RNTN, DBN, etc.) 3. Programming language(s) to be used (Python is preferred) 4. Guidelines for design 5. Hardware Requirements (Amazon AWS GPU's, etc) 6. Team structure with and roles / duties. Envisioned uses include: 1. Accessing ERP and making decisions based on existing data and objectives. 2. Setting off warnings if certain parameters are reached. 3. Automated sales and customer service correspondence. 4. Automated sales and customer service correspondence. 5. Data mining. 6. Reacting to the results of data mining. 7. Organizing and prioritizing task and time. 8. Reorganizing production schedules based on client requirements. The scope can be expanded or reduced based on the conversation. Every effort should be made to use existing code and resources to minimize development time (https://www.tensorflow.org/, http://openai.sourceforge.net/, http://wiki.opencog.org/) The goal is to have the AI be highly functional. If it can have artificial general intelligence and be friendly, that would be preferred but is not required. A natural language processing system that is already developed and available and trained is preferred. No budget has been established for this project. All proposals are evaluated on pricing and qualifications to determine the best value.
Skills: Artificial Neural Networks Artificial Intelligence Data mining Machine learning
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