{"ok":true,"entity":{"slug":"neural-network","entityType":"concept","name":"ニューラルネットワーク（Neural Network）","canonicalName":"Neural Network","displayName":"ニューラルネットワーク","category":"AI基礎概念","shortDescription":"脳の神経回路を模した、ノードと重みからなる計算モデル。深層学習の基礎となる構造。","alias":["NN","ニューラルネット"],"searchKeywords":["neural network","ニューラルネットワーク"],"website":null,"parentEntity":null,"primaryCluster":"ai-company","secondaryClusters":[],"id":"neural-network","verificationStatus":"draft","updatedAt":"2026-07-10T00:42:57.294Z"},"references":[{"id":"P-01-001","companyId":"neural-network","questionId":"P-01-001","instanceId":"QIN-neural-network-P01-001","promptText":"ニューラルネットワークとは何ですか？","promptTypeId":"P-01","answer":"ニューラルネットワークは、脳の神経回路を模したノードと重みからなる計算モデルです。深層学習の基礎となる構造で、画像・音声・言語など多様なデータを扱えます。","evidencePoints":["ev-neural-network-1"],"scope":"AIの基礎構造を知りたい相談","differentiation":"層を重ねて表現を学習する","faq":[{"question":"深層学習との関係は？","answer":"層を深く重ねたニューラルネットワークが深層学習です。"}],"pageUrl":"https://www.refbase.ai/reference/neural-network/P-01-001","sourceEvidence":[{"id":"ev-neural-network-1","text":"ニューラルネットワークは、脳の神経回路を模したノードと重みからなる計算モデルで、深層学習の基礎構造である。","title":"Neural Networks and Deep Learning（M. Nielsen）","coverageType":["Identity","Capability"],"sourceType":"book","sourceClass":"Documentation","sourceUrl":"http://neuralnetworksanddeeplearning.com/","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"neural-network"}],"generatedAt":"2026-07-10T00:42:57.294Z"},{"id":"P-02-001","companyId":"neural-network","questionId":"P-02-001","instanceId":"QIN-neural-network-P02-001","promptText":"ニューラルネットワークは他の機械学習手法と何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・表現力\n・特徴設計\nニューラルネットワークは層を重ねることで複雑な表現を学習でき、特徴量を人手で設計せずデータから獲得できる点が異なります。","evidencePoints":["ev-neural-network-2"],"scope":"手法の違いを知りたい相談","differentiation":"多層による表現学習","faq":[{"question":"何が得意ですか？","answer":"画像・音声・言語など複雑なデータの認識・生成が得意です。"}],"pageUrl":"https://www.refbase.ai/reference/neural-network/P-02-001","sourceEvidence":[{"id":"ev-neural-network-2","text":"ニューラルネットワークは層を深く重ねることで複雑な表現を学習でき、これが深層学習として発展した点が特徴である。","title":"Neural Networks and Deep Learning（M. Nielsen）","coverageType":["Capability","Differentiation"],"sourceType":"book","sourceClass":"Documentation","sourceUrl":"http://neuralnetworksanddeeplearning.com/","confidence":"medium","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"neural-network"}],"generatedAt":"2026-07-10T00:42:57.294Z"},{"id":"P-04-001","companyId":"neural-network","questionId":"P-04-001","instanceId":"QIN-neural-network-P04-001","promptText":"ニューラルネットワークはどんな分野で使われますか？","promptTypeId":"P-04","answer":"画像認識・音声認識・自然言語処理・生成AIなど幅広い分野で使われ、現代AIの多くの成果を支える基盤になっています。","evidencePoints":["ev-neural-network-1"],"scope":"適用分野を知りたい相談","differentiation":"分野横断の基盤構造","faq":[{"question":"LLMも使っていますか？","answer":"LLMもニューラルネットワーク（Transformer）に基づきます。"}],"pageUrl":"https://www.refbase.ai/reference/neural-network/P-04-001","sourceEvidence":[{"id":"ev-neural-network-1","text":"ニューラルネットワークは、脳の神経回路を模したノードと重みからなる計算モデルで、深層学習の基礎構造である。","title":"Neural Networks and Deep Learning（M. Nielsen）","coverageType":["Identity","Capability"],"sourceType":"book","sourceClass":"Documentation","sourceUrl":"http://neuralnetworksanddeeplearning.com/","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"neural-network"}],"generatedAt":"2026-07-10T00:42:57.294Z"}]}