Bidirectional Associative Memory HeteroAssociative Memory 人工智能人工神經網絡源碼;
標簽： Memory HeteroAssociative Bidirectional Associative
上傳時間： 2015-01-05
上傳用戶：372825274
一個Bidirectional Associative Memory的神經網絡程序，希望對大家有用
標簽： Bidirectional Associative Memory 神經網絡
上傳時間： 2014-12-06
上傳用戶：wang0123456789
The Hopfield model is a distributed model of an Associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.
標簽： model distributed Associative Hopfield
上傳時間： 2015-06-17
上傳用戶：l254587896
direct mapping Associative mapping set Associative mapping
標簽： mapping Associative direct set
上傳時間： 2017-08-18
上傳用戶：lxm
經典的hopfield神經網絡的源程序，With with application in Ap:AutoAssociative Memory Associative Recall of Images
上傳時間： 2015-05-13
上傳用戶：silenthink
Lua is a powerful, light-weight programming language designed for extending applications. It is also frequently used as a general-purpose, stand-alone language. It combines simple procedural syntax (similar to Pascal) with powerful data description constructs based on Associative arrays and extensible semantics. Lua is dynamically typed, interpreted from bytecodes, and has automatic memory management with garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
標簽： applications light-weight programming extending
上傳時間： 2016-01-13
上傳用戶：1101055045
Lua is a powerful, fast, lightweight, embeddable scripting language. Lua combines simple procedural syntax with powerful data description constructs based on Associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
標簽： lightweight embeddable Lua scripting
上傳時間： 2014-01-13
上傳用戶：從此走出陰霾
The purpose of this project is to explore the issues and implementation of a multiple instruction stream, single data stream processor. We are running two instruction streams on two CPUs which share an address space. The processors share a second level cache, and maintain coherence at the L1 cache with a write-invalidate policy. The L2 cache is two-way set Associative, with a block size of 8 words, and a total capacity of 512 words.
標簽： implementation instruction multiple purpose
上傳時間： 2017-04-18
上傳用戶：731140412
Learn how to: * Tokenize a null-terminated string * Create a search and replace function for strings * Implement subtraction for string objects * Use the vector, deque, and list sequence containers * Use the container adaptors stack, queue, and priority_queue * Use the map, multimap, set, and multiset Associative containers * Reverse, rotate, and shuffle a sequence * Create a function object * Use binders, negators, and iterator adapters * Read and write files * Use stream iterators to handle file I/O * Use exceptions to handle I/O errors * Create custom inserters and extractors * Format date, time, and numeric data * Use facets and the localization library * Overload the [ ], ( ), and -> operators * Create an explicit constructor * And much, much more
標簽： null-terminated Tokenize Create string
上傳時間： 2014-01-18
上傳用戶：yph853211
